Vladik Kreinovich | Academic Influence

Vladik Kreinovich's AcademicInfluence.com Rankings

Vladik Kreinovich

Computer Science

#1368

World Rank

#1415

Historical Rank

#684

USA Rank

Artificial Intelligence

#397

World Rank

#404

Historical Rank

#137

USA Rank

Database

#497

World Rank

#520

Historical Rank

#198

USA Rank

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Computer Science

Vladik Kreinovich's Degrees

PhD Computer Science Moscow State University

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Why Is Vladik Kreinovich Influential?

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According to Wikipedia, Vladik Kreinovich is a professor of computer science at the University of Texas at El Paso. He was educated at Leningrad State University and received a doctorate in mathematics from the Sobolev Institute of Mathematics, affiliated with Novosibirsk State University in Novosibirsk.

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Vladik Kreinovich's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Handbook of Granular Computing (2008) (536)
Computational Complexity and Feasibility of Data Processing and Interval Computations (1997) (529)
Imprecise probabilities in engineering analyses (2013) (371)
Picture fuzzy sets - A new concept for computational intelligence problems (2013) (346)
Applications of interval computations (1996) (330)
IEEE International Conference on Fuzzy Systems (1996) (301)
Fuzzy logic and its applications in medicine (2001) (229)
Experimental uncertainty estimation and statistics for data having interval uncertainty. (2007) (215)
Limit Theorems and Applications of Set-Valued and Fuzzy Set-Valued Random Variables (2002) (194)
Applications of Continuous Mathematics to Computer Science (1997) (181)
Arbitrary nonlinearity is sufficient to represent all functions by neural networks: A theorem (1991) (157)
Nested Intervals and Sets: Concepts, Relations to Fuzzy Sets, and Applications (1996) (148)
Mathematical knowledge and practices resulting from access to digital technologies (2009) (147)
Computational Complexity of Planning and Approximate Planning in Presence of Incompleteness (1999) (143)
Computing Statistics under Interval and Fuzzy Uncertainty - Applications to Computer Science and Engineering (2011) (143)
Interval-Valued Degrees of Belief: Applications of Interval Computations to Expert Systems and Intelligent Control (1997) (131)
Why Trapezoidal and Triangular Membership Functions Work So Well: Towards a Theoretical Explanation (2014) (131)
Computing variance for interval data is NP-hard (2002) (121)
Why 70/30 or 80/20 Relation Between Training and Testing Sets: A Pedagogical Explanation (2018) (114)
Why 70/30 or 80/20 Relation Between Training and Testing Sets: A Pedagogical Explanation (2018) (114)
Decision making beyond arrow's “impossibility theorem,” with the analysis of effects of collusion and mutual attraction (2009) (112)
Decision making beyond arrow's “impossibility theorem,” with the analysis of effects of collusion and mutual attraction (2009) (112)
Estimates of the Number of Hidden Units and Variation with Respect to Half-Spaces (1997) (110)
Computing Exact Componentwise Bounds on Solutions of Lineary Systems with Interval Data is NP-Hard (1995) (96)
An IDL/ENVI Implementation of the FFT Based Algorithm for Automatic Image Registration (2003) (96)
A new Cauchy-based black-box technique for uncertainty in risk analysis (2004) (87)
Decision Making Under Interval Uncertainty (and Beyond) (2014) (87)
Generic algorithms: what fitness scaling is optimal? (1993) (82)
Exact Bounds on Finite Populations of Interval Data (2005) (82)
Towards Combining Probabilistic and Interval Uncertainty in Engineering Calculations: Algorithms for Computing Statistics under Interval Uncertainty, and Their Computational Complexity (2006) (81)
Fuzzy Rule Based Modeling as a Universal Approximation Tool (1998) (80)
Gaussian membership functions are most adequate in representing uncertainty in measurements (1992) (79)
Universal approximation theorem for uninorm-based fuzzy systems modeling (2003) (77)
Filtering out high frequencies in time series using F-transform with respect to raised cosine generalized uniform fuzzy partition (2014) (75)
Decision making under interval probabilities (1999) (72)
A simple probabilistic explanation of term frequency-inverse document frequency (tf-idf) heuristic (and variations motivated by this explanation) (2017) (72)
Security games with interval uncertainty (2013) (69)
A new class of fuzzy implications. Axioms of fuzzy implication revisited (1998) (63)
Best student paper award (1996) (61)
Fuzzy systems are universal approximators for a smooth function and its derivatives (2000) (60)
A classification of representable t-norm operators for picture fuzzy sets (2016) (59)
Monte-Carlo-Type Techniques for Processing Interval Uncertainty, and Their Potential Engineering Applications (2006) (59)
Interval Arithmetic, Affine Arithmetic, Taylor Series Methods: Why, What Next? (2004) (58)
Strict Archimedean t-norms and t-conorms as universal approximators (1998) (57)
Why l1 Is a Good Approximation to l0: A Geometric Explanation (2013) (54)
Solving equations (and systems of equations) under uncertainty: how different practical problems lead to different mathematical and computational formulations (2016) (54)
Fuzzy control as a universal control tool (1996) (54)
Optimal strategy of switching reasoning methods in fuzzy control (1995) (51)
On robustness of fuzzy logics (1993) (50)
On the solution sets of particular classes of linear interval systems (2003) (49)
On the formulation of optimization under elastic constraints (with control in mind) (1996) (48)
Interval versions of statistical techniques with applications to environmental analysis, bioinformatics, and privacy in statistical databases (2007) (48)
Probabilities, Intervals, What Next? Optimization Problems Related to Extension of Interval Computations to Situations with Partial Information about Probabilities (2004) (47)
Complex fuzzy sets: towards new foundations (2000) (45)
Error Estimations for Indirect Measurements: Randomized vs. Deterministic Algorithms for "Black-Box" Programs (2000) (45)
Greedy algorithms for optimizing multivariate Horner schemes (2004) (43)
Bayesian approach for inconsistent information (2013) (40)
Fuzzy transforms of higher order approximate derivatives: A theorem (2011) (40)
A new reconstruction from the F-transform components (2016) (38)
Knowledge Processing with Interval and Soft Computing (2008) (38)
Monte-Carlo methods make Dempster-Shafer formalism feasible (1994) (38)
The Shape of the Solution Set for Systems of Interval Linear Equations with Dependent Coefficients (1998) (38)
Outlier Detection under Interval Uncertainty: Algorithmic Solvability and Computational Complexity (2003) (37)
On-line algorithms for computing mean and variance of interval data, and their use in intelligent systems (2007) (37)
Beyond Convex? Global Optimization is Feasible Only for Convex Objective Functions: A Theorem (2005) (37)
On the Shape of the Symmetric, Persymmetric, and Skew-Symmetric Solution Set (1997) (36)
Computing Degrees of Subsethood and Similarity for Interval-Valued Fuzzy Sets: Fast Algorithms (2008) (36)
How far are we from the complete knowledge? Complexity of knowledge acquisition in the Dempster-Shafer approach (1994) (36)
Necessary and sufficient conditions for generalized uniform fuzzy partitions (2015) (35)
Random Sets Unify, Explain, and Aid Known Uncertainty Methods in Expert Systems (1997) (35)
Methodology of Fuzzy Control: An Introduction (1998) (35)
A Measure of Average sensitivity for fuzzy Logics (1994) (35)
On the optimal choice of quality metric in image compression: a soft computing approach (2002) (35)
The End of Theory? Does the Data Deluge Make the Scientific Method Obsolete? (2008) (34)
The general theory of decisions (2016) (34)
On the possibility of using complex values in fuzzy logic for representing inconsistencies (1998) (34)
Interval Computations as an Important Part of Granular Computing: An Introduction (2007) (33)
Astrogeometry: Towards Mathematical Foundations (1996) (33)
Astrogeometry: Towards Mathematical Foundations (1996) (33)
Fundamental physical equations uniquely determined by their symmetry groups (1986) (33)
Using expert knowledge in solving the seismic inverse problem (2005) (33)
Estimating Uncertainties for Geophysical Tomography (1998) (33)
Is the success of fuzzy logic really paradoxical?: Toward the actual logic behind expert systems (1996) (33)
Is the success of fuzzy logic really paradoxical?: Toward the actual logic behind expert systems (1996) (33)
Fair Division Under Interval Uncertainty (2000) (32)
Towards theoretical foundations of soft computing applications (1995) (32)
Computing Uncertainty in Interval Based Sets (1996) (32)
Babylonian method of computing the square root: Justifications based on fuzzy techniques and on computational complexity (2009) (31)
Towards applying computational complexity to foundations of physics (2006) (31)
Why Ricker wavelets are successful in processing seismic data: Towards a theoretical explanation (2014) (31)
Interval Computations and Interval-Related Statistical Techniques: Tools for Estimating Uncertainty of the Results of Data Processing and Indirect Measurements (2009) (31)
Soft computing in measurement and information acquisition (2003) (30)
Kolmogorov Complexity and Chaotic Phenomena (2003) (30)
Astrogeometry, error estimation, and other applications of set-valued analysis (1996) (30)
Astrogeometry, error estimation, and other applications of set-valued analysis (1996) (30)
Guaranteed Intervals for Kolmogorov’s Theorem (and Their Possible Relation to Neural Networks) (2004) (29)
Computational Complexity of Planning with Temporal Goals (2001) (29)
A community effort to construct a gravity database for the United States and an associated Web portal (2006) (29)
Guaranteed Intervals for Kolmogorov’s Theorem (and Their Possible Relation to Neural Networks) (2004) (29)
Neural networks: What non-linearity to choose (1991) (28)
Novel Approaches to Numerical Software with Result Verification (2004) (28)
The Shape of the Symmetric Solution Set (1996) (28)
Non-destructive testing of aerospace structures: granularity and data mining approach (2002) (28)
Why Deep Neural Networks: A Possible Theoretical Explanation (2018) (28)
Towards decision making under interval, set-valued, fuzzy, and Z-number uncertainty: A fair price approach (2014) (28)
Normal Forms for fuzzy Logic - an Application of Kolmogorov's Theorem (1996) (28)
Computing Population Variance and Entropy under Interval Uncertainty: Linear-Time Algorithms (2007) (28)
Interval Computations No 4 , 1993 A Linear-Time Algorithm That Locates Local Extrema of a Function of One Variable From Interval Measurement Results (1993) (27)
Statistical timing based on incomplete probabilistic descriptions of parameter uncertainty (2006) (27)
Population Variance under Interval Uncertainty: A New Algorithm (2006) (27)
Uncertainty in risk analysis: towards a general second-order approach combining interval, probabilistic, and fuzzy techniques (2002) (27)
On how to merge sorted lists coming from different web search tools (1999) (27)
A NEW METHOD OF PROVING THE EXISTENCE OF ANSWER SETS FOR DISJUNCTIVE LOGIC PROGRAMS: A METRIC FIXED POINT THEOREM FOR MULTI-VALUED MAPS (1993) (27)
Optimal choice of granularity in commonsense estimation: Why half‐orders of magnitude? (2006) (26)
Maximum entropy and interval computations (1996) (26)
Which Algorithms Are Feasible And Which Are Not Depends On The Geometry Of Space-Time (1995) (25)
Interval Methods for Data Fitting under Uncertainty: A Probabilistic Treatment (2015) (24)
New Algorithms for Statistical Analysis of Interval Data (2004) (24)
A new universal approximation result for fuzzy systems, which reflects CNF DNF duality (2002) (24)
A realistic (non-associative) logic and a possible explanations of 7 pm 2 law (2002) (24)
Optimal interval enclosures for fractionally-linear functions, and their application to intelligent control (1996) (24)
What procedure to choose while designing a fuzzy control? Towards mathematical foundations of fuzzy control (1991) (24)
Convergence properties of an interval probabilistic approach to system reliability estimation (2005) (24)
Absolute Bounds on the Mean of Sum, Product, etc.: A Probabilistic Extension of Interval Arithmetic (2002) (24)
Toward Formalizing Non-monotonic Reasoning in Physics: The use of Kolmogorov Complexity to Formalize the Notions of "Typically" and "Normally" (2009) (24)
Applications of Interval Computations: An Introduction (1996) (24)
Kolmogorov's theorem and its impact on soft computing (1997) (23)
Towards more realistic (e.g., non-associative) “and”- and “or”-operations in fuzzy logic (2001) (22)
How to divide a territory? A new simple differential formalism for optimization of set functions (1999) (22)
Fuzzy numbers are the only fuzzy sets that keep invertible operations invertible (1997) (22)
On hardware support for interval computations and for soft computing: theorems (1997) (22)
Exact Bounds on Sample Variance of Interval Data (2002) (22)
Fuzzy numbers are the only fuzzy sets that keep invertible operations invertible (1997) (22)
Mining the Web: Discovering Knowledge from Hypertext Data, by Soumen Chakrabarti and Morgan Kaufmann (2005) (22)
Maximum Entropy (Maxent) Method in Expert Systems and Intelligent Control: New Possibilities and Limitations (1996) (22)
Interval methods that are guaranteed to underestimate (and the resulting new justification of Kaucher arithmetic) (1996) (22)
Maximum Entropy Approach to Fuzzy Control (1994) (22)
Group-theoretic approach to intractable problems (1988) (22)
How to Relate Spectral Risk Measures and Utilities (2010) (21)
Solving Linear Interval Systems Is NP-Hard Even If We Exclude Overflow and Underflow (1998) (21)
Granularity Helps Explain Seemingly Irrational Features of Human Decision Making (2015) (21)
Choice of an entropy-like function for range-Doppler processing (1993) (21)
On Approximation of Fuzzy Sets by Crisp Sets: From Continuous Control-Oriented Defuzzification to Discrete Decision Making (2000) (21)
Parallel computers - Estimate errors caused by imprecise data (1991) (20)
Exact Upper Bound on the Mean of the Product of Many Random Variables with Known Expectations (2003) (20)
How To Take Into Account Dependence Between the Inputs: From Interval Computations to Constraint-Rel (2006) (20)
Computing mean and variance under Dempster-Shafer uncertainty: Towards faster algorithms (2006) (20)
Logic of Scientific Discovery: How Physical Induction Affects What Is Computable (2014) (20)
Towards reliable sub-division of geological areas: interval approach (2000) (20)
Logic of Scientific Discovery: How Physical Induction Affects What Is Computable (2014) (20)
Fast quantum algorithms for handling probabilistic and interval uncertainty (2004) (20)
Combining Interval and Probabilistic Uncertainty: Foundations, Algorithms, Challenges { An Overview (2005) (20)
√(x2 + μ) is the Most Computationally Efficient Smooth Approximation to |x|: a Proof (2013) (19)
Inverse problems: Fuzzy representation of uncertainty generates a regularization (1992) (19)
A Vine Copula Approach for Analyzing Financial Risk and Co-movement of the Indonesian, Philippine and Thailand Stock Markets (2014) (19)
From Interval Methods of Representing Uncertainty to a General Description of Uncertainty (1999) (19)
Propagation and Provenance of Probabilistic and Interval Uncertainty in Cyberinfrastructure-Related Data Processing and Data Fusion (2007) (19)
Interval or moments: which carry more information? (2013) (19)
Why Quantum (Wave Probability) Models Are a Good Description of Many Non-quantum Complex Systems, and How to Go Beyond Quantum Models (2018) (18)
Validated templates for specification of complex LTL formulas (2012) (18)
Computing the cube of an interval matrix is NP-Hard (2005) (18)
Why Quantum (Wave Probability) Models Are a Good Description of Many Non-quantum Complex Systems, and How to Go Beyond Quantum Models (2018) (18)
Computing the cube of an interval matrix is NP-Hard (2005) (18)
Modeling Correlation and Dependence Among Intervals (2006) (18)
Linear interval equations: Computing enclosures with bounded relative or absolute overestimation is NP-hard (1996) (18)
Relativistic reductions for radiointerferometric observables (1983) (18)
Monte-Carlo-Type Techniques for Processing Interval Uncertainty , and Their Engineering Applications (2004) (17)
Entropy conserving probability transforms and the entailment principle (2007) (17)
How to control if even experts are not sure: Robust fuzzy control (1992) (17)
Computational complexity of determining which statements about causality hold in different space-time models (2008) (17)
Computational complexity of determining which statements about causality hold in different space-time models (2008) (17)
On the functional form of convex underestimators for twice continuously differentiable functions (2007) (17)
Rate distortion optimal bit allocation methods for volumetric data using JPEG 2000 (2006) (17)
Fast Computation of Centroids for Constant-Width Interval-Valued Fuzzy Sets (2006) (17)
GEON: Geophysical Data Add the 3rd Dimension in Geospatial Studies (2004) (17)
Interpolation that leads to the narrowest intervals and its application to expert systems and intelligent control (1995) (17)
Probabilities, intervals, what next? extension of interval computations to situations with partial information about probabilities (2004) (17)
Why Fuzzy Cognitive Maps Are Efficient (2015) (17)
Intelligent mining in image databases, with applications to satellite imaging and to web search (2001) (17)
Kolmogorov complexity, statistical regularization of inverse problems, and Birkhoff's formalization of beauty (1998) (17)
Dirty Pages of Logarithm Tables, Lifetime of the Universe, and (Subjective) Probabilities on Finite and Infinite Intervals (2003) (17)
Computing best-possible bounds for the distribution of a sum of several variables is NP-hard (2006) (17)
Fuzzy Logic Ideas Can Help in Explaining Kahneman and Tversky's Empirical Decision Weights (2014) (17)
How Interval and Fuzzy Techniques Can Improve Teaching - Processing Educational Data: From Traditional Statistical Techniques to an Appropriate Combination of Probabilistic, Interval, and Fuzzy Approaches (2018) (16)
If we measure a number, we get an interval. What if we measure a function or an operator? (1996) (16)
For unknown-but-bounded errors, interval estimates are often better than averaging (1996) (16)
Why Are FGM Copulas Successful? A Simple Explanation (2018) (16)
Interval / Probabilistic Uncertainty and Non-Classical Logics (2008) (16)
How to Estimate Forecasting Quality: A System- Motivated Derivation of Symmetric Mean Absolute Percentage Error (SMAPE) and Other Similar Characteristics (2014) (16)
Trade-off between sample size and accuracy: Case of measurements under interval uncertainty (2009) (16)
Fast convolution and Fast Fourier Transform under interval and fuzzy uncertainty (2010) (16)
Computational Complexity and Feasibility of Data Processing and Interval Computations, with Extension to Cases When We Have Partial Information about Probabilities (2003) (16)
On Decision Making under Interval Uncertainty: A New Justification of Hurwicz Optimism-Pessimism Approach and its Use in Group Decision Making (2009) (16)
Universal approximation with uninorm-based fuzzy neural networks (2011) (16)
Eliminating Duplicates under Interval and Fuzzy Uncertainty: An Asymptotically Optimal Algorithm and Its Geospatial Applications (2004) (16)
Interval + Image = Wavelet: For Image Processing under Interval Uncertainty, Wavelets Are Optimal (1998) (16)
Fuzzy/Probability ~ Fractal/Smooth (1999) (16)
Representation, Elicitation, and Aggregation of Uncertainty in Risk Analysis - from Traditional Probabilistic Techniques to More General, More Realistic Approaches: A Survey (2001) (16)
Trade-off between sample size and accuracy: Case of measurements under interval uncertainty (2009) (16)
How to fully represent expert information about imprecise properties in a computer system: random sets, fuzzy sets, and beyond: an overview (2014) (16)
NP-Hard Classes of Linear Algebraic Systems with Uncertainties (1997) (16)
Concepts of solutions of uncertain equations with intervals, probabilities and fuzzy sets for applied tasks (2017) (16)
Symmetry-Group Justification of Maximum Entropy Method and Generalized Maximum Entropy Methods in Image Processing (1998) (15)
A bright side of NP-hardness of interval computations: interval heuristics applied to NP-problems (1995) (15)
Towards Optimal Techniques for Solving Global Optimization Problems: Symmetry-Based Approach (2007) (15)
3-layer Neural Networks Are Universal Approximations for Functions and for Control Strategies (1993) (15)
Fast implementations of fuzzy arithmetic operations using fast Fourier transform (FFT) (1996) (15)
Why ` 1 is a Good Approximation to ` 0 : A Geometric Explanation (2012) (15)
Outlier detection under interval and fuzzy uncertainty: algorithmic solvability and computational complexity (2003) (15)
Econometrics for Financial Applications, ECONVN 2018, International Econometric Conference of Vietnam, Ho Chi Minh, Vietnam, 15-16 January, 2018 (2018) (14)
Towards Secure Cyberinfrastructure for Sharing Border Information (2006) (14)
Why Triangular and Trapezoid Membership Functions: A Simple Explanation (2018) (14)
On lattice extensions of partial orders of rings (1997) (14)
Intervals (pairs of fuzzy values), triples, etc.: can we thus get an arbitrary ordering? (2000) (14)
Quantum Approach Explains the Need for Expert Knowledge: On the Example of Econometrics (2018) (14)
Computing 2-Step Predictions for Interval-Valued Finite Stationary Markov Chains (2004) (14)
Approximately measured causality implies the Lorentz group: Alexandrov-Zeeman result made more realistic (1994) (14)
Astrogeometry: Toward mathematical foundations (1997) (14)
From Expert Words Directly to Numerical Simulations: Group-Theoretic Approach to Computing with Words in Information/Intelligent Systems (1999) (14)
Use of Machine Learning to Analyze and -- Hopefully -- Predict Volcano Activity (2016) (14)
Quantum Approach Explains the Need for Expert Knowledge: On the Example of Econometrics (2018) (14)
Why Triangular and Trapezoid Membership Functions: A Simple Explanation (2018) (14)
From computation with guaranteed intervals to computation with confidence intervals: a new application of fuzzy techniques (2002) (14)
On Inverse Halftoning : Computational Complexity and Interval Computations (2005) (14)
Towards Optimal Use of Multi-Precision Arithmetic: A Remark (2006) (14)
Astrogeometry: Toward mathematical foundations (1997) (14)
Automatic referencing of satellite and radar images (2001) (14)
Optimal Finite Characterization of Linear Problems with Inexact Data (2005) (14)
Approximate Linear Algebra Is Intractable (1996) (14)
Towards more realistic (e.g., non-associative) AND- and OR-operations in fuzzy logic (2001) (14)
High‐Concentration Chemical Computing Techniques for Solving Hard‐To‐Solve Problems, and their Relation to Numerical Optimization, Neural Computing, Reasoning under Uncertainty, and Freedom of Choice (2011) (13)
Interval-Valued and Fuzzy-Valued Random Variables: From Computing Sample Variances to Computing Sample Covariances (2004) (13)
Fast quantum algorithms for handling probabilistic, interval, and fuzzy uncertainty (2003) (13)
Unreasonable effectiveness of symmetry in physics (1996) (13)
Fuzzy logic in nondestructive testing of aerospace structures (1999) (13)
Real-Time Algorithms for Statistical Analysis of Interval Data (2003) (13)
Why complex-valued fuzzy? Why complex values in general? A computational explanation (2013) (13)
WHAT NON-LINEARITY TO CHOOSE? MATHEMATICAL FOUNDATIONS OF FUZZY CONTROL (2008) (13)
From Traditional Neural Networks to Deep Learning: Towards Mathematical Foundations of Empirical Successes (2018) (13)
Error estimate of the result of indirect measurements by using a calculational experiment (1985) (13)
Pre-Service Teacher Training in Mathematics Using Tablet PC Technology (2007) (13)
Where to Bisect a Box? A Theoretical Explanation of the Experimental Results (1998) (13)
Why complex-valued fuzzy? Why complex values in general? A computational explanation (2013) (13)
Detection of cracks at rivet holes in thin plates using Lamb-wave scanning (2003) (13)
MAXIMUM ENTROPY APPROACH TO OPTIMAL SENSOR PLACEMENT FOR AEROSPACE NON-DESTRUCTIVE TESTING (1998) (13)
Ordinal Explanation of the Periodic System of Chemical Elements (1998) (13)
Statistical Hypothesis Testing Under Interval Uncertainty: An Overview (2007) (12)
Multi-Resolution Data Processing: It is Necessary, it is Possible, it is Fundamental (1997) (12)
Towards automatic detection of erroneous measurement results in a gravity database (2001) (12)
How to describe partially ordered preferences, mathematical foundations (1998) (12)
Uncertainty Analysis in Econometrics, with Applications (2013) (12)
Beyond [0,1] to Intervals and Further: Do We Need All New Fuzzy Values? (1999) (12)
Interval-type and affine arithmetic-type techniques for handling uncertainty in expert systems (2007) (12)
Towards more adequate representation of uncertainty: From intervals to set intervals, with the possible addition of probabilities and certainty degrees (2008) (12)
How to help intelligent systems with different uncertainty representations cooperate with each other (1991) (12)
How to describe partially ordered preferences, mathematical foundations (1998) (12)
Probability of implication, logical version of Bayes theorem, and fuzzy logic operations (2002) (11)
m solutions good, m-1 solutions better (2007) (11)
Interval Methods in Non-Destructive Testing of Material Structures (2001) (11)
Combining Fuzzy and Probabilistic Knowledge Using Belief Functions (2001) (11)
Interval Methods in Non-Destructive Testing of Material Structures (2001) (11)
How to Best Apply Neural Networks in Geosciences: Towards Optimal "Averaging" in Dropout Training (2017) (11)
General form of measurement transformations which admit the computational methods of metrological analysis of measuring-testing and measuring-computing systems (1987) (11)
Symmetry characterization of Pimenov's spacetime: A reformulation of causality axioms (1996) (11)
Derivation of the Schrödinger equation from scale invariance (1976) (11)
Why intervals? A simple limit theorem that is similar to limit theorems from statistics (1995) (11)
Intelligence techniques are needed to further enhance the advantage of groups with diversity in problem solving (2009) (11)
Hypothesis Testing with Interval Data: Case of Regulatory Constraints (2008) (11)
Choquet Integrals and OWA Criteria as a Natural (and Optimal) Next Step after Linear Aggregation: A New General Justification (2008) (11)
Astrometrical and geodetical applications of VLBI “ARC METHOD” (1978) (11)
Optimization Under Uncertainty Explains Empirical Success of Deep Learning Heuristics (2019) (11)
Optimization Techniques under Uncertain Criteria, and Their Possible Use in Computerized Education (2006) (11)
Intelligence techniques are needed to further enhance the advantage of groups with diversity in problem solving (2009) (11)
Likert-type fuzzy uncertainty from a traditional decision making viewpoint: how symmetry helps explain human decision making (including seemingly irrational behavior) (2014) (11)
Task-specific metrics and optimized rate allocation applied to Part 2 of JPEG2000 and 3-D meteorological data (2003) (11)
On quantum versions of record-breaking algorithms for SAT (2005) (11)
Possible New Directions in Mathematical Foundations of Fuzzy Technology: A Contribution to the Mathematics of Fuzzy Theory (1998) (11)
The Multi-layered Interval Categorizer Tesselation-based Model (2004) (11)
Optimal Choices of Potential Functions in Fuzzy Clustering (1998) (11)
Optimization Under Uncertainty Explains Empirical Success of Deep Learning Heuristics (2019) (11)
In some curved spaces, one can solve NP-hard problems in polynomial time (2009) (11)
Fuzzy and probabilistic models of association information in sensor networks (2004) (11)
Why Rectified Linear Neurons Are Efficient: A Possible Theoretical Explanation (2020) (11)
Soft Computing Explains Heuristic Numerical Methods in Data Processing and in Logic Programming (1997) (11)
Algorithms That Still Produce a Solution (Maybe Not Optimal) Even When Interrupted: Shary's Idea Justified (1998) (10)
Which fuzzy logic is the best: Pragmatic approach (and its theoretical analysis) (2006) (10)
Studying Volatility and Dependency of Chinese Outbound Tourism Demand in Singapore, Malaysia, and Thailand: A Vine Copula Approach (2014) (10)
From Computing Sets of Optima, Pareto Sets, and Sets of Nash Equilibria to General Decision-Related Set Computations (2010) (10)
Model Fusion under Probabilistic and Interval Uncertainty, with Application to Earth Sciences (2012) (10)
Interval and symmetry approaches to uncertainty — Pioneered by wiener — Help explain seemingly irrational human behavior: A case study (2014) (10)
Prediction problem in quantum mechanics is intractable (NP-Hard) (1991) (10)
Interval Finite Element Methods: New Directions (2006) (10)
From Planning to Searching for the Shortest Plan: An Optimal Transition (2001) (10)
Fuzzy (and Interval) Techniques in the Age of Big Data: An Overview with Applications to Environmental Science, Geosciences, Engineering, and Medicine (2015) (10)
S. Maslov's Iterative Method: 15 Years Later (1996) (10)
Advance Trends in Soft Computing - Proceedings of WCSC 2013, December 16-18, San Antonio, Texas, USA (2013) (10)
Fuzzy Set-Valued Random Variables (2002) (10)
Evaluating Mechanical Properties of Earth Material During Intelligent Compaction (2020) (10)
NON-EQUILIBRIUM THERMODYNAMICS EXPLAINS SEMIOTIC SHAPES : APPLICATIONS TO ASTRONOMY AND TO NON-DESTRUCTIVE TESTING OF AEROSPACE SYSTEMS (1997) (10)
Membership Functions or alpha-Cuts? Algorithmic (Constructivist) Analysis Justifies an Interval Approach (2013) (10)
Interval rational = algebraic (1995) (10)
On the problem of recovering the ψ function in nonrelativistic quantum mechanics (1976) (10)
Problems of reducing the exhaustive search (1996) (10)
Approximating General Logic Programs (1993) (10)
Theoretical Justification of a Heuristic Subbox Selection Criterion (2001) (10)
Non-associative operations (2001) (10)
Statistical and Dempster-Shafer techniques in testing structural integrity of aerospace structures (2001) (10)
We Live in the Best of Possible Worlds: Leibniz's Insight Helps to Derive Equations of Modern Physics (2015) (10)
Under Interval and Fuzzy Uncertainty, Symmetric Markov Chains Are More Difficult to Predict (2007) (10)
Modeling Dependence in Econometrics - Selected Papers of the Seventh International Conference of the Thailand Econometric Society, TES 2014, Faculty of Economics, Chiang Mai University, Thailand, January 8-10, 2014 (2014) (10)
Images with Uncertainty: Efficient Algorithms for Shift, Rotation, Scaling, and Registration, and their Applications to Geosciences (2007) (10)
From interval computations to modal mathematics: applications and computational complexity (1998) (10)
Assessment of KLT and bit-allocation strategies in the application of JPEG 2000 to the battlescale forecast meteorological data (2003) (10)
Prediction problem in quantum mechanics is intractable (NP-Hard) (1991) (10)
Towards Foundations for Traditional Oriental Medicine (1998) (10)
On a Theoretical Justification of the Choice of Epsilon-Inflation in PASCAL-XSC (1997) (10)
If Many Physicists Are Right and No Physical Theory Is Perfect, Then by Using Physical Observations, We Can Feasibly Solve Almost All Instances of Each NP-Complete Problem (2014) (9)
Towards a "Generic" Notion of Genericity: From "Typical" and "Random" to Meager, Shy, etc. (2011) (9)
How to transform partial order between degrees into numerical values (2016) (9)
Interval Approach to Non-Destructive Testing of Aerospace Structures and to Mammography (1998) (9)
Fast algorithms for computing statistics under interval uncertainty, with applications to computer science and to electrical and computer engineering (2007) (9)
Quantum Econometrics: How to Explain Its Quantitative Successes and How the Resulting Formulas Are Related to Scale Invariance, Entropy, and Fuzziness (2018) (9)
Why Bellman-Zadeh Approach to Fuzzy Optimization (2018) (9)
Systematic Statistical Approach to Populate Missing Performance Data in Pavement Management Systems (2015) (9)
Interval estimates for closure-phase and closure-amplitude imaging in radio astronomy (1992) (9)
Interval computations and interval-related statistical techniques : estimating uncertainty of the results of data processing and indirect measurements (2014) (9)
ON APPROXIMATION OF CONTROLS BY FUZZY SYSTEMSHung (1992) (9)
If Many Physicists Are Right and No Physical Theory Is Perfect, Then by Using Physical Observations, We Can Feasibly Solve Almost All Instances of Each NP-Complete Problem (2014) (9)
Detecting Outliers under Interval Uncertainty: A New Algorithm Based on Constraint Satisfaction (2006) (9)
Optimization with soft constraints: case of fuzzy intervals (1994) (9)
Uniqueness of network parametrization and faster learning (1994) (9)
Pure quantum states are fundamental, mixtures (composite states) are mathematical constructions: An argument using algorithmic information theory (1997) (9)
Interval estimates for closure-phase and closure-amplitude imaging in radio astronomy (1992) (9)
Why clustering in function approximation? Theoretical explanation (2000) (9)
Constraint Programming and Decision Making (2014) (9)
Estimating Information Amount under Interval Uncertainty : Algorithmic Solvability and Computational Complexity (2006) (9)
Verified Methods for Computing Pareto Sets: General Algorithmic Analysis (2009) (9)
Estimating Information Amount under Interval Uncertainty : Algorithmic Solvability and Computational Complexity (2006) (9)
Operations with Fuzzy Numbers Explain Heuristic Methods in Image Processing (1998) (9)
Logic-motivated choice of fuzzy logic operators (2001) (9)
How to transform partial order between degrees into numerical values (2016) (9)
F-transform in view of trend extraction (2012) (9)
Towards Optimal Effort Distribution in Process Design under Uncertainty, with Application to Education (2012) (9)
Interval Approach to Non-Destructive Testing of Aerospace Structures and to Mammography (1998) (9)
Main ideas behind OWA lead to a universal and optimal approximation scheme (2002) (9)
Claude E. Shannon (1916–2001) (2001) (9)
When to stop testing software? A fuzzy interval approach (1994) (9)
Why Bellman-Zadeh Approach to Fuzzy Optimization (2018) (9)
Processing interval sensor data in the presence of outliers, with potential applications to localizing underwater robots (2011) (9)
Fast Multiplication of Interval Matrices (Interval Version of Strassen's Algorithm) (2004) (9)
Efficient Approximation for Security Games with Interval Uncertainty (2012) (9)
Square root of “not”: A major difference between fuzzy and quantum logics (2008) (9)
Relations Between Interval Computing and Soft Computing (2008) (9)
Quantum Ideas in Economics Beyond Quantum Econometrics (2018) (9)
Quantum Econometrics: How to Explain Its Quantitative Successes and How the Resulting Formulas Are Related to Scale Invariance, Entropy, and Fuzziness (2018) (9)
Operations with Fuzzy Numbers Explain Heuristic Methods in Image Processing (1998) (9)
Towards Optimal Effort Distribution in Process Design under Uncertainty, with Application to Education (2012) (9)
Z-Numbers and Type-2 Fuzzy Sets: A Representation Result (2018) (9)
Optimization with soft constraints: case of fuzzy intervals (1994) (9)
Some practical applications of soft computing and data mining (2001) (9)
Taylor Model-Type Techniques for Handling Uncertainty in Expert Systems (2005) (8)
Why Sparse? Fuzzy Techniques Explain Empirical Efficiency of Sparsity-Based Data- and Image-Processing Algorithms (2016) (8)
Fuzzy transform as a new paradigm in fuzzy modeling (2010) (8)
How to avoid congestion in computer networks (1994) (8)
Multispectral inverse problems in satellite image processing (1998) (8)
How AI-Type Uncertainty Ideas Can Improve Inter-Disciplinary Collaboration and Education: Lessons from a Case Study (2010) (8)
Why Fundamental Physical Equations Are of Second Order (1999) (8)
Trade-Off between Sample Size and Accuracy: Case of Dynamic Measurements under Interval Uncertainty (2008) (8)
Range Estimation Is NP-Hard for ε2 Accuracy and Feasible for ε2−δ (2002) (8)
How AI-Type Uncertainty Ideas Can Improve Inter-Disciplinary Collaboration and Education: Lessons from a Case Study (2010) (8)
Which truth values in fuzzy logics are definable? (2003) (8)
A New Differential Formalism for Interval-Valued Functions and its Potential Use in Detecting 1-D Landscape Features (2003) (8)
Deep Learning (Partly) Demystified (2020) (8)
Estimating Probability of Failure of a Complex System Based on Inexact Information about Subsystems and Components, with Potential Applications to Aircraft Maintenance (2011) (8)
Fuzzy Systems Are Universal Approximators for Random Dependencies: A Simplified Proof (2020) (8)
Detection from hyperspectral images compressed using rate distortion and optimization techniques under JPEG2000 part 2 (2004) (8)
Why Deep Learning Methods Use KL Divergence Instead of Least Squares: A Possible Pedagogical Explanation (2017) (8)
Approximate nature of traditional fuzzy methodology naturally leads to complex-valued fuzzy degrees (2014) (8)
Selecting the most representative sample is NP-hard: Need for expert (fuzzy) knowledge (2008) (8)
Current Quantum Cryptography Algorithm Is Optimal: A Proof (2018) (8)
Robust Methodology for Characterizing System Response to Damage: Approach Based on Partial Order (2003) (8)
Current Quantum Cryptography Algorithm Is Optimal: A Proof (2018) (8)
Discrete Taylor Series as a Simple Way to Predict Properties of Chemical Substances like Benzenes and Cubanes (2009) (8)
On Average Bit Complexity of Interval Arithmetic (1999) (8)
On Symmetric Solution Sets (2003) (8)
Towards a Combination of Interval and Ellipsoid Uncertainty (2008) (8)
How to reconcile physical theories with the idea of free will: From analysis of a simple model to interval and fuzzy approaches (2008) (8)
Combining Interval, Probabilistic, and Other Types of Uncertainty in Engineering Applications (2018) (8)
Aggregation operations from quantum computing (2013) (8)
Fast Algorithms for Computing Statistics under Interval Uncertainty: An Overview (2008) (8)
Application of Kolmogorov Complexity to Advanced Problems in Mechanics (2004) (8)
Information Complexity and Fuzzy Control (2005) (8)
Trade-Off between Sample Size and Accuracy: Case of Dynamic Measurements under Interval Uncertainty (2008) (8)
Towards Fast and Understandable Computations: Which “And”- and “Or”-Operations Can Be Represented by the Fastest (i.e., 1-Layer) Neural Networks? Which Activations Functions Allow Such Representations? (2021) (8)
Approximate nature of traditional fuzzy methodology naturally leads to complex-valued fuzzy degrees (2014) (8)
Why Deep Learning Methods Use KL Divergence Instead of Least Squares: A Possible Pedagogical Explanation (2017) (8)
Extracting fuzzy sparse rules by Cartesian representation and clustering (2000) (8)
Symmetric Linear Systems with Perturbed Input Data (1996) (8)
Estimating correlation under interval uncertainty (2013) (8)
NEGATIVE RESULTS OF COMPUTABLE ANALYSIS DISAPPEAR IF WE RESTRICT OURSELVES TO RANDOM (OR, MORE GENERALLY, TYPICAL) INPUTS (2012) (8)
Towards Computers of Generation Omega - Non-Equilibrium Thermodynamics, Granularity, and Acausal Processes: A Brief Survey (1997) (8)
The method of arcs and differential astrometry (1979) (8)
Robust Methodology for Characterizing System Response to Damage: Approach Based on Partial Order (2003) (8)
In system identification, interval (and fuzzy) estimates can lead to much better accuracy than the traditional statistical ones: General algorithm and case study (2017) (8)
How to Efficiently Process Uncertainty within a Cyberinfrastructure without Sacrificing Privacy and Confidentiality (2007) (8)
From Fuzzy Values to Intuitionistic Fuzzy Values to Intuitionistic Fuzzy Intervals Etc.: Can We Get an Arbitrary Ordering? (1999) (8)
Second-order uncertainty as a bridge between probabilistic and fuzzy approaches (2001) (8)
Relativistic theory of the Moon's motion (1976) (8)
Deep Learning (Partly) Demystified (2020) (8)
Entropy as a Measure of Average Loss of Privacy (2017) (7)
Application of task-specific metrics in JPEG2000 ROI compression (2002) (7)
Chu spaces: towards new foundations for fuzzy logic and fuzzy control, with applications to information flow on the World Wide Web (2001) (7)
Exact Bounds for Interval and Fuzzy Functions Under Monotonicity Constraints, with Potential Applications to Biostratigraphy (2005) (7)
To properly reflect physicists' reasoning about randomness, we also need a maxitive (possibility) measure (2005) (7)
Why Triangular Membership Functions Work Well in F-Transform: A Theoretical Explanation (2013) (7)
The Prospect for Answer Sets Computation by a Genetic Model (2001) (7)
Strong Negation: Its Relation to Intervals and its Use in Expert Systems (1998) (7)
Towards adding probabilities and correlations to interval computations (2007) (7)
A new characterization of the set of all intervals, based on the necessity to check consistency easily (1995) (7)
Econometrics of Risk (2015) (7)
If Many Physicists Are Right and No Physical Theory Is Perfect, Then the Use of Physical Observations Can Enhance Computations (2014) (7)
Cooperative Learning is Better: Explanation Using Dynamical Systems, Fuzzy Logic, and Geometric Symmetries (1998) (7)
Ockham's razor in interval identification (1995) (7)
Automatic referencing of multi-spectral images (2002) (7)
An Optimality Criterion for Arithmetic of Complex Sets (1999) (7)
Suboptimum binary phase code search using a genetic algorithm (1994) (7)
Decision Making Under Interval Uncertainty: Beyond Hurwicz Pessimism-Optimism Criterion (2018) (7)
Orders on intervals over partially ordered sets: extending Allen’s algebra and interval graph results (2013) (7)
How to Test Hypotheses when Exact Values are Replaced by Intervals to Protect Privacy: Case of t-tests (2015) (7)
Towards Optimal Knowledge Processing: From Centralization Through Cyberinsfrastructure To Cloud Computing (2011) (7)
Computing With Words (CWW): role of fuzzy, probability and measurement concepts, and operations (2012) (7)
Efficient algorithms for heavy-tail analysis under interval uncertainty (2012) (7)
Egyptian Fractions Revisited (2009) (7)
Propagating uncertainty through a quadratic response surface model (2008) (7)
Task-specific image quality metrics for lossy compression of FLIR images (1999) (7)
Towards Feasible Approach to Plan Checking under Probabilistic Uncertainty: Interval Methods (2000) (7)
If we take into account that constraints are soft, then processing constraints becomes algorithmically solvable (2014) (7)
Static space-times naturally lead to quasi-pseudometrics (2008) (7)
Itanium's new basic operation of fused multiply-add: theoretical explanation and theoretical challenge (2001) (7)
Intervals is All We Need: An Argument (1999) (7)
Computational Complexity of Interval Algebraic Problems: Some Are Feasible And Some Are Computationally Intractable: A Survey (2005) (7)
A Feasible Algorithm for Locating Concave and Convex Zones of Interval Data and Its Use in Statistics-Based Clustering (2004) (7)
Axiomatization of volume in elementary geometry (1980) (7)
Observable Causality Implies Lorentz Group: Alexandrov-Zeeman-Type Theorem for Space-Time Regions (2014) (7)
Scale-invariant approach to multi-criterion optimisation under uncertainty, with applications to optimal sensor placement, in particular, to sensor placement in environmental research (2012) (7)
To properly reflect physicists' reasoning about randomness, we also need a maxitive (possibility) measure (2005) (7)
Symmetry Between True, False, and Uncertain: An Explanation (2009) (7)
From Interval Computations to Constraint-Related Set Computations: Towards Faster Estimation of Statistics and ODEs Under Interval, p-Box, and Fuzzy Uncertainty (2007) (7)
Telemanipulation: The Virtual Tool Approach and its Interval-Based Justification (1998) (7)
Observable Causality Implies Lorentz Group: Alexandrov-Zeeman-Type Theorem for Space-Time Regions (2014) (7)
Egyptian Fractions Revisited (2009) (7)
Towards the most robust way of assigning numerical degrees to ordered labels, with possible applications to dark matter and dark energy (2016) (7)
Exponential Disutility Functions in Transportation Problems: A New Theoretical Justification (2007) (7)
Ellipsoidal and Gaussian Kalman Filter Model for Discrete-Time Nonlinear Systems (2019) (7)
Dealing with Imprecise Probabilities: Interval-Related Talks at ISIPTA'05 (2006) (7)
BLACK-BOX PROPAGATION OF FAILURE PROBABILITIES UNDER EPISTEMIC UNCERTAINTY (2019) (7)
Towards Foundations of Processing Imprecise Data: From Traditional Statistical Techniques of Processing Crisp Data to Statistical Processing of Fuzzy Data (2003) (7)
How the concept of information as average number of "yes"-"no" questions (bits) can be extended to intervals, p-boxes, and more general uncertainty (2005) (7)
Expanding Queries to Incomplete Databases by Interpolating General Logic Programs (1998) (7)
Dealing with Imprecise Probabilities: Interval-Related Talks at ISIPTA'05 (2006) (7)
Towards the most robust way of assigning numerical degrees to ordered labels, with possible applications to dark matter and dark energy (2016) (7)
ON APPROXIMATION OF CONTROLS IN DISTRIBUTED SYSTEMS BY FUZZY CONTROLLERS (1995) (7)
Intervals and the Origins of Calculus (1998) (7)
'Case Study of Non-Linear Inverse Problems: Mammography and Non-destructive Evaluation', (1998) (6)
Space-time Is " Square times " More Difficult to Approximate than Euclidean Space (1996) (6)
Verification of Automatically Generated Pattern-Based LTL Specifications (2007) (6)
Towards Fast and Reliable Localization of an Underwater Object: An Interval Approach (2015) (6)
Why Squashing Functions in Multi-Layer Neural Networks (2020) (6)
Type-2 Fuzzy Analysis Explains Ubiquity of Triangular and Trapezoid Membership Functions (2018) (6)
Symbolic Aggregate approXimation (SAX) under interval uncertainty (2015) (6)
In Quantum Physics, Free Will Leads to Nonconservation of Energy (2013) (6)
Fast error estimates for indirect measurements: applications to pavement engineering (1996) (6)
We Must Choose the Simplest Physical Theory: Levin-Li-Vitanyi Theorem and its Potential Physical Applications (1998) (6)
Why Squashing Functions in Multi-Layer Neural Networks (2020) (6)
Using innovative fraction activities as a vehicle for examining conceptual understanding of fraction concepts in pre-service elementary teachers mathematical education (2007) (6)
Towards the Use of Aesthetics in Decision Making: Kolmogorov Complexity Formalizes Birkhoff's Idea (1998) (6)
What is the best way to distribute efforts among students: Towards quantitative approach to human cognition (2009) (6)
Towards Security of Cyber-Physical Systems using Quantum Computing Algorithms (2020) (6)
How to Measure Loss of Privacy (2006) (6)
Towards a Localized Version of Pearson's Correlation Coefficient (2013) (6)
Gartner's Hype Cycle: A Simple Explanation (2018) (6)
“Interval rational = algebraic” revisited: a more computer realistic result (1996) (6)
Application of Kolmogorov Complexity to Image Compression: It Is Possible to Have a Better Compression, But It Is Not Possible to Have the Best One (1999) (6)
Type-2 Fuzzy Analysis Explains Ubiquity of Triangular and Trapezoid Membership Functions (2018) (6)
If Input Intervals are Narrow Enough, Then Interval Computations are Almost Always Easy (1998) (6)
Computing Higher Central Moments for Interval Data (2004) (6)
Candidate Sets for Complex Interval Arithmetic (1999) (6)
Towards fast algorithms for processing type-2 fuzzy data: Extending Mendel’s algorithms from interval-valued to a more general case (2008) (6)
From what does the law of the excluded middle follow? (1977) (6)
Chu Spaces - a New Approach to Diagnostic Information Fusion (1999) (6)
Do It Today or Do It Tomorrow: Empirical Non-exponential Discounting Explained by Symmetry Ideas (2018) (6)
On Hilbert's thirteenth problem for soft computing (1995) (6)
Fuzzy Modus Ponens as a Calculus of Logical Modifiers: Towards Zadeh's Vision of Implication Calculus (1999) (6)
Interval / Probabilistic Uncertainty and Non-classical Logics (Advances in Soft Computing) (2008) (6)
Complex Problems: Granularity is Necessary, Granularity Helps (1998) (6)
How does new evidence change our estimates of probabilities? Carnap's formula revisited (1992) (6)
Absolute Bounds on the Mean of Sum, Product, Max, and Min: A Probabilistic Extension of Interval Arithmetic (2002) (6)
Error Estimation for Indirect Measurements: Interval Computation Problem Is (Slightly) Harder Than a Similar Probabilistic Computational Problem (1999) (6)
Multi-resolution methods in non-destructive testing of aerospace structures and in medicine (1999) (6)
Likert-scale fuzzy uncertainty from a traditional decision making viewpoint: It incorporates both subjective probabilities and utility information (2013) (6)
Why Two Sigma? A Theoretical Justification (2003) (6)
What is the best way to distribute efforts among students: Towards quantitative approach to human cognition (2009) (6)
The heresy of unheard-of simplicity: Comment on "The unreasonable effectiveness of small neural ensembles in high-dimensional brain" by A.N. Gorban, V.A. Makarov, and I.Y. Tyukin. (2019) (6)
Learn by Teaching: A Mediating Approach to Teaching and Learning Mathematics for Prospective Teachers. (2007) (6)
How to Estimate Resilient Modulus for Unbound Aggregate Materials: A Theoretical Explanation of an Empirical Formula (2016) (6)
Do It Today or Do It Tomorrow: Empirical Non-exponential Discounting Explained by Symmetry Ideas (2018) (6)
When Is the Product of Intervals Also an Interval? (1998) (6)
Is Solar System Stable? A Remark (1997) (6)
Probabilistic Approach to Trust: Ideas, Algorithms, And Simulations (2004) (6)
Linear-Time Resource Allocation in Security Games with Identical Fully Protective Resources (2011) (6)
'Case Study of Non-Linear Inverse Problems: Mammography and Non-destructive Evaluation', (1998) (6)
On the relation between two approaches to combining evidence: Ordered Abelian Groups and uninorms (2003) (6)
Shadows of fuzzy sets-a natural approach towards describing 2-D and multi-D fuzzy uncertainty in linguistic terms (2000) (6)
Error Estimation for Indirect Measurements: Interval Computation Problem Is (Slightly) Harder Than a Similar Probabilistic Computational Problem (1999) (6)
Predicting volcanic eruptions: Case study of rare events in chaotic systems with delay (2017) (6)
From ordered beliefs to numbers: How to elicit numbers without asking for them (doable but computationally difficult) (1998) (6)
A New (Simplified) Derivation of Nash's Bargaining Solution (2020) (6)
Robust methodology for characterizing system response to damage: a subjective (fuzzy) partial ordered modification of the traditional utility-probability scheme (2003) (6)
Constrained Fuzzy Arithmetic (2001) (6)
How to combine probabilistic and fuzzy uncertainties in fuzzy control (1991) (6)
How to Describe and Propagate Uncertainty When Processing Time Series: Metrological and Computational Challenges, with Potential Applications to Environmental Studies (2013) (6)
Mayan and Babylonian arithmetics can be explained by the need to minimize computations (2012) (6)
Interval Computations as a Particular Case of a General Scheme Involving Classes of Probability Distributions (2001) (6)
F-transform in View of Aggregation Functions (2013) (6)
Strassen's Algorithm Made (Somewhat) More Natural: A Pedagogical Remark (2001) (6)
Vine Copulas As a Way to Describe and Analyze Multi-Variate Dependence in Econometrics: Computational Motivation and Comparison with Bayesian Networks and Fuzzy Approaches (2014) (6)
Trade-Off between Sample Size and Accuracy: Case of Static Measurements under Interval Uncertainty (2008) (6)
Estimating information amount under uncertainty: algorithmic solvability and computational complexity (2010) (6)
Why Sugeno lambda-Measures (2015) (6)
Towards Security of Cyber-Physical Systems using Quantum Computing Algorithms (2020) (6)
Towards Formalization of Feasibility, Randomness, and Commonsense Implication: Kolmogorov Complexity, and the Necessity of Considering (Fuzzy) Degrees (1998) (5)
How to Define Relative Approximation Error of an Interval Estimate: A Proposal (2013) (5)
Why ARMAX-GARCH Linear Models Successfully Describe Complex Nonlinear Phenomena: A Possible Explanation (2015) (5)
Multi-Criteria Optimization: An Important Foundation of Fuzzy System Design (1998) (5)
How Quantum Computing Can Help with (Continuous) Optimization (2020) (5)
Use of maxitive (possibility) measures in foundations of physics and description of randomness: case study (2005) (5)
Acausal Processes and Astrophysics: Case When Uncertainty Is Non-statistical (fuzzy?) (1996) (5)
From (Idealized) Exact Causality-Preserving Transformations to Practically Useful Approximately-Preserving Ones: A General Approach (2008) (5)
How Uncertainty-Related Ideas Can Provide Theoretical Explanation For Empirical Dependencies (2021) (5)
Compressing 3D Measurement Data Under Interval Uncertainty (2004) (5)
Fuzzy control is often better than manual control of the very experts whose knowledge it uses: an explanation (1992) (5)
Astronomical tests of relativity: beyond parameterized post-Newtonian formalism (PPN), to testing fundamental principles (2009) (5)
Chemical Kinetics in Situations Intermediate Between Usual and High Concentrations: Fuzzy-Motivated Derivation of the Formulas (2016) (5)
MULTI-RESOLUTION DATA PROCESSING IS OPTIMAL : CASE STUDY OF DETECTING SURFACE MOUNTED DEVICES (1997) (5)
Computing an appropriate control strategy based only on a given plant's rule-based model is NP-hard (1994) (5)
A New Justification of Wang Transform Operator in Financial Risk Analysis (2009) (5)
One More Geometric Interpretation of Pearson’s Correlation (2015) (5)
1st order, 2nd order, what next? We do not really need third-order descriptions: a view from a realistic (granular) viewpoint (2001) (5)
A Comment on the Shape of the Solution Set for Systems of Interval Linear Equations with Dependent Coefficients (2001) (5)
Why Intervals? Why Fuzzy Numbers? Towards a New Justification (2007) (5)
Joseph Henrich, The WEIRDest People in the World: How the West Became Psychologically Peculiar and Particularly Prosperous, Farrar, Straus, and Giroux, New York, 2020 (2021) (5)
Our Reasoning is Clearly Fuzzy, So Why is Crisp Logic So often Adequate? (2015) (5)
Towards Formalizing Non-monotonic Reasoning in Physics: Logical Approach Based on Physical Induction and Its Relation to Kolmogorov Complexity (2012) (5)
Algorithmic problems of nontransitive (SSB) utilities (1991) (5)
Granular approach to data processing under probabilistic uncertainty (2019) (5)
Why bernstein polynomials are better: Fuzzy-inspired justification (2012) (5)
Open-Ended Configurations of Radio Telescopes: Geometrical Analysis (2002) (5)
How to Introduce Technical Details of Quantum Computing in a Theory of Computation Class: Using the Basic Case of the Deutsch-Jozsa Algorithm (2016) (5)
How to Detect Linear Dependence on the Copula Level? (2014) (5)
Optimal choice of granularity in commonsense estimation: why half-orders of magnitude (2001) (5)
Limit Theorems as Blessing of Dimensionality: Neural-Oriented Overview (2021) (5)
Review of the Book "Mind in Motion: How Action Shapes Thought" by Barbara Tversky, Basic Books, New York, 2019 (2020) (5)
Ellipsoids and ellipsoid-shaped fuzzy sets as natural multi-variate generalization of intervals and fuzzy numbers: How to elicit them from users, and how to use them in data processing (2007) (5)
How to Use Absolute-Error-Minimizing Software to Minimize Relative Error: Practitioner's Guide (2017) (5)
Algorithmic problems of nontransitive (SSB) utilities (1991) (5)
Space-time isomorphism problem is intractable (NP-hard) (1991) (5)
From processing interval-valued fuzzy data to general type-2: Towards fast algorithms (2011) (5)
Interval+communications=Walsh: for signal multiplexing under interval uncertainty, Walsh functions are optimal (2001) (5)
Why Some Families of Probability Distributions Are Practically Efficient: A Symmetry-Based Explanation (2016) (5)
Towards Neural-Based Understanding of the Cauchy Deviate Method for Processing Interval and Fuzzy Uncertainty (2009) (5)
Research on advanced soft computing and its applications (2004) (5)
Use of maxitive (possibility) measures in foundations of physics and description of randomness: case study (2005) (5)
From Intervals to –?: Towards a General Description of Validated Uncertainty (2023) (5)
Mamdani's Rule: a \weird" Use of \and" as Implication Justiied by Modern Logic (1994) (5)
Derivation of Hill's Equation from Scale Invariance (2012) (5)
Limit Theorems as Blessing of Dimensionality: Neural-Oriented Overview (2021) (5)
Open-Ended Configurations of Radio Telescopes: Geometrical Analysis (2002) (5)
From 1-D to 2-D fuzzy: A proof that interval-valued and complex-valued are the only distributive options (2015) (5)
How to Introduce Technical Details of Quantum Computing in a Theory of Computation Class: Using the Basic Case of the Deutsch-Jozsa Algorithm (2016) (5)
Computational Geometry and Artificial Neural Networks: A Hybrid Approach to Optimal Sensor Placement for Aerospace NDE (1997) (5)
Quantum computation techniques for gauging reliability of interval and fuzzy data (2008) (5)
A review of "Euclidean distance geometry and applications'' by L. Liberti, C. Lavor, N. Maculan, and A. Mucherino (2014) (5)
Selecting the Best Location for a Meteorological Tower: A Case Study of Multi-objective Constraint Optimization (2014) (5)
How to Interpret Neural Networks in Terms of Fuzzy Logic (2001) (5)
Need for Data Processing Naturally Leads to Fuzzy Logic (and Neural Networks): Fuzzy Beyond Experts and Beyond Probabilities (2016) (5)
Estimating Errors of Indirect Measurement on Realistic Parallel Machines : Routings on 2-D and 3-D Meshes That are Nearly Optimal (1993) (5)
Towards a General Methodology for Designing Sub-Noise Measurement Procedures (2004) (5)
Why Awe Makes People More Generous: Utility Theory Can Explain Recent Experiments (2015) (5)
Estimating Variance Under Interval and Fuzzy Uncertainty: Case of Hierarchical Estimation (2007) (5)
Computational Complexity and Feasibility of Fuzzy Data Processing: Why Fuzzy Numbers, Which Fuzzy Numbers, Which Operations with Fuzzy Numbers (1998) (5)
Why ARMAX-GARCH Linear Models Successfully Describe Complex Nonlinear Phenomena: A Possible Explanation (2015) (5)
How to Estimate the Stiffness of a Multi-layer Road Based on Properties of Layers: Symmetry-Based Explanation for Odemark’s Equation (2020) (5)
Propagation of Interval and Probabilistic Uncertainty in Cyberinfrastructure-related Data Processing and Data Fusion (2014) (5)
Joseph Henrich, The WEIRDest People in the World: How the West Became Psychologically Peculiar and Particularly Prosperous, Farrar, Straus, and Giroux, New York, 2020 (2021) (5)
Why Ellipsoid Constraints, Ellipsoid Clusters, and Riemannian Space-Time: Dvoretzky's Theorem Revisited (2014) (5)
Interval Approach to Preserving Privacy in Statistical Databases: Related Challenges and Algorithms of Computational Statistics (2007) (5)
When Are Two Wave Functions Distinguishable: A New Answer to Pauli’s Question, with Potential Application to Quantum Cosmology (2008) (5)
HPC-ICTM: The Interval Categorizer Tessellation-Based Model for High Performance Computing (2004) (5)
Computational Complexity and Feasibility of Fuzzy Data Processing: Why Fuzzy Numbers, Which Fuzzy Numbers, Which Operations with Fuzzy Numbers (1998) (5)
Optimizing Trajectories for Unmanned Aerial Vehicles (UAVs) Patrolling the Border (2011) (5)
Chemical Kinetics in Situations Intermediate Between Usual and High Concentrations: Fuzzy-Motivated Derivation of the Formulas (2016) (5)
Fuzzy Implication Revisited: A New Type Of Fuzzy Implication Explains Yager's Implication Operation (1996) (5)
Soft Computing: Frontiers? A Case Study of Hyper-Spectral Satellite Imaging (1997) (5)
Why Linear Interpolation (2017) (5)
INTELLIGENT PARALLEL SIMULATION – A KEY TO INTRACTABLE PROBLEMS IN INFORMATION PROCESSING (1992) (5)
Why Some Families of Probability Distributions Are Practically Efficient: A Symmetry-Based Explanation (2016) (5)
Geometry of Protein Structures. I. Why Hyperbolic Surfaces are a Good Approximation for Beta-Sheets (2004) (5)
Using FFT-based data processing techniques to characterize asphaltic concrete mixtures (2004) (5)
Group-theoretic approach as a general framework for sensors, neural networks, fuzzy control, and genetic boolean networks (2004) (5)
Formulation of the Problem (2020) (5)
Fuzzy measures and integrals as aggregation operators: solving the commensurability problem (2002) (5)
Error estimation for indirect measurements is exponentially hard (1994) (5)
A Geometric Approach to Classification of Trash in Ginned Cotton (1999) (5)
From 1-D to 2-D fuzzy: A proof that interval-valued and complex-valued are the only distributive options (2015) (5)
Aircraft integrity and reliability (2002) (5)
Why unary and binary operations in logic: general result motivated by interval-valued logics (2001) (5)
Spinal Cord Stimulation for Chronic Pain Management: Towards an Expert System (1997) (5)
In Case of Interval (or More General) Uncertainty, No Algorithm Can Choose the Simplest Representative (2002) (5)
From (Idealized) Exact Causality-Preserving Transformations to Practically Useful Approximately-Preserving Ones: A General Approach (2008) (5)
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Applications of fuzzy intervals: a skeletal outline of papers presented on this topic (1994) (5)
Optimization and Decision Making under Interval and Fuzzy Uncertainty: Towards New Mathematical Foundations (2006) (5)
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Automatic concurrency in SequenceL (1998) (4)
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Logit discrete choice model: a new distribution-free justification (2008) (4)
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Using Gelfond-Przymusinska’s epistemic specifications to justify (some) heuristic methods used in expert systems and intelligent control (1997) (4)
Fuzzy Xor Classes from Quantum Computing (2015) (4)
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Signal Design for Radar Imaging in Radar Astronomy: Genetic Optimization (1997) (4)
Only Intervals Preserve the Invertibility of Arithmetic Operations (1999) (4)
Optimization of the Procedure for Measuring Arcs by Radio Interferometry (1979) (4)
Equivalence of Gian-Carlo Rota Poset Approach and Taylor Series Approach Extended to Variant Ligands (2010) (4)
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Aggregability is NP-hard (2006) (4)
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Constraint Programming and Decision Making: Theory and Applications (2018) (4)
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From intervals to domains: towards a general description of validated uncertainty, with potential applications to geospatial and meteorological data (2007) (4)
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Reconstructing an Open Order from Its Closure, with Applications to Space-Time Physics and to Logic (2012) (4)
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Optimal Sensor Placement in Environmental Research: Designing a Sensor Network under Uncertainty (2010) (4)
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Interval Approach to Testing Software (1994) (4)
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Compatible-Based Conditioning in Interval-Based Possibilistic Logic (2015) (4)
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Why Zipf's Law: A Symmetry-Based Explanation (2018) (4)
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Ho w to explain the efficiency of triangular and trapezoid members hip functions in applications to design (2019) (4)
Comparison of formulations of applied tasks with intervals, fuzzy sets and probability approaches (2016) (4)
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Combining Interval and Probabilistic Uncertainty: What Is Computable? (2016) (4)
How to relate fuzzy and OWA estimates (2010) (4)
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Algorithmics of Checking whether a Mapping Is Injective, Surjective, and/or Bijective (2014) (4)
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Optimal Elimination of Inconsistency in Expert Knowledge: Formulation of the Problem, Fast Algorithms (2000) (4)
Why Triangular Membership Functions are Often Efficient in F-transform Applications: Relation to Probabilistic and Interval Uncertainty and to Haar Wavelets (2018) (4)
Computational complexity of optimization and crude range testing: a new approach motivated by fuzzy optimization (2003) (4)
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Quantitative Justification for the Gravity Model in Economics (2018) (4)
Algorithmics of Checking whether a Mapping Is Injective, Surjective, and/or Bijective (2014) (4)
Possible Explanation of Empirical Values of the Matern Smoothness Parameter for the Temporal Covariance of GPS Measurements (2017) (4)
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Robust data processing in the presence of uncertainty and outliers: Case of localization problems (2016) (3)
Towards the future of interval computations (1995) (3)
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Designing, Understanding, and Analyzing Unconventional Computation: The Important Role Of Logic And Constructive Mathematics (2011) (3)
Russian Peasant Multiplication Algorithm, RSA Cryptosystem, and a New Explanation of Half-Orders of Magnitude ⁄ (2007) (3)
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Ordering subsets of (partially) ordered sets: Representation theorems (2010) (3)
NP-Hardness in Geometric Construction Problems with One Interval Parameter (1998) (3)
Towards a More Efficient Representation of Functions in Quantum and Reversible Computing (2019) (3)
Towards Intelligent Virtual Environment for Training Medical Doctors in Surgical Pain Relief (1999) (3)
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Why Triangular and Trapezoid Membership Functions Are Efficient in Design Applications (2018) (3)
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Intelligent technologies: An introduction (2004) (3)
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Strongly transitive fuzzy relations: A more adequate way to describe similarity (1992) (3)
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Why Max and Average Poolings are Optimal in Convolutional Neural Networks (2018) (3)
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Space-Time Assumptions Behind NP-Hardness of Propositional Satisfiability (2014) (3)
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Interleaving Enhances Learning: A Possible Geometric Explanation (2014) (3)
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Strongly transitive fuzzy relations: An alternative way to describe similarity (1995) (3)
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From Semi-Heuristic Fuzzy Techniques to Optimal Fuzzy Methods: Mathematical Foundations and Applications (1998) (3)
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Mathematical foundations for intelligent technologies (2007) (3)
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Interval Methods for Presenting Performance of Financial Trading Systems (2010) (3)
SIGMOID NEURONS ARE THE SAFEST AGAINST ADDITIVE ERRORS (2008) (3)
Computational Methods for Investment Portfolio: The Use of Fuzzy Measures and Constraint Programming for Risk Management (2009) (3)
How to Predict Nesting Sites and How to Measure Shoreline Erosion: Fuzzy and Probabilistic Techniques for Environment-Related Spatial Data Processing (2016) (3)
If a polynomial identity guarantees that every partial order on a ring can be extended, then this identity is true only for a zero-ring (1995) (3)
What is wrong with teaching to the test: Uncertainty techniques help in understanding (and hopefully resolving) the controversy (2011) (3)
Towards Dynamical Systems Approach to Fuzzy Clustering (2009) (3)
Traffic Assignment for Risk Averse Drivers in a Stochastic Network (2007) (3)
How to Gauge Accuracy of Measurements and of Expert Estimates: Beyond Normal Distributions (2013) (3)
Towards Dynamical Systems Approach to Fuzzy Clustering (2009) (3)
Relation between polling and Likert-scale approaches to eliciting membership degrees clarified by quantum computing (2013) (3)
How to Define Mean, Variance, etc., for Heavy-Tailed Distributions: A Fractal-Motivated Approach (2012) (3)
How to tell when a product of two partially ordered spaces has a certain property: General results with application to fuzzy logic (2011) (3)
Fuzzy Data Processing Beyond Min t-Norm (2018) (3)
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From Interval-Valued Probabilities to Interval-Valued Possibilities: Case Studies of Interval Computation under Constraints (2014) (3)
Uncertainty Representation Explains and Helps Methodology of Physics and Science in General (1998) (3)
Towards Symmetry-Based Explanation of (Approximate) Shapes of Alpha-Helices and Beta-Sheets (and Beta-Barrels) in Protein Structure (2012) (3)
Physico-geometric investigation of brittle fracture during creep☆ (1989) (3)
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Theoretical Explanation of Recent Empirically Successful Code Quality Metrics (2020) (3)
From Interval Computations to Constraint-Related Set Computations: Towards Faster Estimation of Statistics and ODEs under Interval and p-Box Uncertainty (Invited Talk) (2009) (3)
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Why inverse F-transform? A compression-based explanation (2013) (3)
Why Triangular Membership Functions Are Successfully Used in F-Transform Applications: A Global Explanation to Supplement the Existing Local Ones (2019) (3)
TWO ETUDES ON Combining Probabilistic and Interval Uncertainty: Processing Correlations and Measuring Loss of Privacy (2006) (3)
Decomposable Aggregability in Population Genetics and Evolutionary Computations: Algorithms and Computational Complexity (2008) (3)
A Simple Geometric Model Provides a Possible Quantitative Explanation of the Advantages of Immediate Feedback in Student Learning (2014) (3)
Measurement Information: Scales and Conversions (2002) (3)
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Econometric Models of Probabilistic Choice: Beyond McFadden's Formulas (2017) (3)
Global Independence, Possible Local Dependence: Towards More Realistic Error Estimates for Indirect Measurements (2019) (3)
The use of fuzzy measures as a data fusion tool in geographic information systems: case study (2003) (3)
Which Algorithms are Feasible? Maxent Approach (1998) (3)
Why 95% and Two Sigma? A Theoretical Justification for an Empirical Measurement Practice (2000) (3)
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A New Kalman Filter Model for Nonlinear Systems Based on Ellipsoidal Bounding (2018) (3)
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Fuzzy Justification of Heuristic Methods in Inverse Problems and in Numerical Computations, with Applications to Detection of Business Cycles from Fuzzy and Intuitionistic Fuzzy Data (1998) (3)
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Why pink noise is best for enhancing sleep and memory: system-based explanation (2019) (3)
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Estimating Statistical Characteristics of Lognormal and Delta-Lognormal Distributions under Interval Uncertainty: Algorithms and Computational Complexity (2012) (3)
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How to Take Into Account Student's Degree of Confidence When Grading Exams (2015) (3)
Constructivization of the concepts ofε entropy and ε capacity (1977) (3)
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How to Gauge Unknown Unknowns: A Possible Theoretical Explanation of the Usual Safety Factor of 2 (2014) (3)
Human Visual Perception and Kolmogorov Complexity: Revisited (1998) (3)
Why ℓp-methods in signal and image processing: A fuzzy-based explanation (2016) (3)
Application-motivated combinations of fuzzy, interval and probability approaches, and their use in geoinformatics, bioinformatics and engineering (2008) (3)
Why Student Distributions? Why Matern's Covariance Model? A Symmetry-Based Explanation (2018) (3)
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Why Max and Average Poolings are Optimal in Convolutional Neural Networks (2018) (3)
A STICK WITH TWO MARKS ON IT ) : IT IS NECESSARY , IT IS THEORETICALLY POSSIBLE , IT IS FEASIBLE (1996) (3)
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Why Injecting Fine Dust into a Tornado Is More Promising Than Injecting Coarse Dust: A Geometric Explanation (2014) (3)
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Why Triangular Membership Functions Are Successfully Used in F-Transform Applications: A Global Explanation to Supplement the Existing Local Ones (2019) (3)
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Why Copulas Have Been Successful in Many Practical Applications: A Theoretical Explanation Based on Computational Efficiency (2015) (3)
How to Take Into Account Student's Degree of Confidence When Grading Exams (2015) (3)
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AND SAVING ENVIRONMENT : LET ’ S START (3)
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Preface to "Modeling Dependence in Econometrics" (2014) (3)
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Why sustained effort is important in research: A geometric explanation (2016) (2)
How to speed up software migration and modernization: Successful strategies developed by precisiating expert knowledge (2015) (2)
How Mathematics and Computing Can Help Fight the Pandemic: Two Pedagogical Examples (2021) (2)
How to Take Expert Uncertainty into Account: Economic Approach Illustrated by Pavement Engineering Applications (2018) (2)
Fusing continuous and discrete data, on the example of merging seismic and gravity models in geophysics (2011) (2)
How to Decide Which Cracks Should Be Repaired First: Theoretical Explanation of Empirical Formulas (2020) (2)
Is Langrangian Formalism Adequately Describing Energy Conservation (2013) (2)
Case study in technology-enhanced classroom: statistical analysis of effects of tablet PC technology in math education of future teachers. (2006) (2)
Invariance-Based Justification of the Maximum Entropy Method and of Generalized Maximum Entropy Methods in Data Processing (2000) (2)
Towards Combining Probabilistic, Interval, Fuzzy Uncertainty, and Constraints: On the Example of Inverse Problem in Geophysics (2007) (2)
Towards Intelligent Virtual Environment for Teaching Telemanipulation Operators: Virtual Tool Approach and its Interval-Based Justification (1998) (2)
Why Product "And"-Operation Is Often Efficient: One More Argument (2017) (2)
Why ancient Egyptians preferred some sum-of-inverses representations of fractions? (2020) (2)
Asymmetric Heteroskedasticity Models: A New Justification (2009) (2)
Need for a Careful Comparison Between Hypotheses: Case Study of Epicycles (2020) (2)
Measurement-Type “Calibration” of Expert Estimates Improves Their Accuracy and Their Usability: Pavement Engineering Case Study (2018) (2)
In Education, Delayed Feedback Is Often More Efficient Than Immediate Feedback: A Geometric Explanation (2017) (2)
Are There Easy-to-Check Necessary and Sufficient Conditions for Straightforward Interval Computations To Be Exact? (2003) (2)
Towards an Efficient Bisection of Ellipsoids (2014) (2)
How to Efficiently Store Intermediate Results in Quantum Computing: Theoretical Explanation of the Current Algorithm (2020) (2)
Optimizing Cloud Use Under Interval Uncertainty (2015) (2)
Towards Interval Techniques for Processing Educational Data (2006) (2)
Using Patterns and Composite Propositions to Automate the Generation of Complex LTL (2007) (2)
Fuzzy Logic Beyond Traditional “And”-Operations (2021) (2)
Semi-heuristic poverty measures used by economists: Justification motivated by fuzzy techniques (2012) (2)
Which bio-diversity indices are most adequate (2015) (2)
Extending maximum entropy techniques to entropy constraints (2010) (2)
Peak-End Rule: A Utility-Based Explanation (2018) (2)
A Statistical Analysis for Rule Base Reduction (2001) (2)
A Natural Simple Model of Scientists' Strength Leads to Skew-Normal Distribution (2015) (2)
Interval mathematics for analysis of multiresolutional systems (2002) (2)
Why Skew Normal: A Simple Pedagogical Explanation (2018) (2)
Why Cauchy Membership Functions: Efficiency (2021) (2)
When Should We Switch from Interval-Valued Fuzzy to Full Type-2 Fuzzy (e.g., Gaussian)? (2015) (2)
Guesstimation: A New Justification of the Geometric Mean Heuristic (2009) (2)
A Natural Formalization of Changing-One's-Mind Leads to Square Root of "Not" and to Complex-Valued Fuzzy Logic (2021) (2)
Membership functions representing a number vs. representing a set: Proof of unique reconstruction (2016) (2)
Why It Is Sufficient to Have Real-Valued Amplitudes in Quantum Computing (2021) (2)
Sensor Placement for Aerospace Non-Destructive Evaluation (NDE): Optimization under Fuzzy Uncertainty (1997) (2)
Why IQ Test Scores Are Slightly Decreasing: Possible System-Based Explanation for the Reversed Flynn Effect (2019) (2)
Optimal group decision making criterion and how it can help to decrease poverty, inequality, and discrimination (2018) (2)
Justification of heuristic methods in data processing using fuzzy theory, with applications to detection of business cycles from fuzzy data (1999) (2)
Why Ragin's Fuzzy Techniques Lead to Successful Social Science Applications: An Explanation (2016) (2)
Towards Optimal Compression of Meteorological Data: A Case Study of Using Interval-Motivated Overestimators in Global Optimization (2007) (2)
For Fuzzy Logic, Occam's Principle Explains the Ubiquity of the Golden Ratio and of the 80-20 Rule (2017) (2)
From Interval (Set) and Probabilistic Granules to Set-and-Probabilistic Granules of Higher Order (2011) (2)
Which point from an interval should we choose? (2016) (2)
Can We Learn Algorithms from People Who Compute Fast: an indirect analysis in the presence of fuzzy descriptions (2012) (2)
Why Product "And"-Operation Is Often Efficient: One More Argument (2017) (2)
Between Dog and Wolf: A Continuous Transition from Fuzzy to Probabilistic Estimates (2019) (2)
Why is a function defined as set of ordered pairs? (1997) (2)
Secure Multi-Agent Quantum Communication: Towards the Most Efficient Scheme (A Pedagogical Remark) (2018) (2)
Odometry under Interval Uncertainty: Towards Optimal Algorithms with Potential Application to Self-Driving Cars and Mobile Robots∗ (2020) (2)
Kuznets Curve: A Simple Dynamical System-Based Explanation (2018) (2)
Why Immediate Repetition Is Good for Short-Time Learning Results but Bad for Long-Time Learning: Explanation Based on Decision Theory (2020) (2)
Why h-Index (2020) (2)
How Design Quality Improves with Increasing Computational Abilities: General Formulas and Case Study of Aircraft Fuel Efficiency (2015) (2)
Using robust optimization to play against an imperfect opponent (1997) (2)
Towards Optimal Allocation of Points to Difierent Assignments and Tests (2010) (2)
Fitting a Normal Distribution to Interval and Fuzzy Data (2007) (2)
How to reconstruct the original shape of a radar signal? (2005) (2)
How to Modify Grade Point Average (GPA) to Make It More Adequate (2014) (2)
A new graph characteristic and its application to numerical computability (2001) (2)
Hilbert Problems (Almost) 100 Years Later (From the Viewpoint of Interval Computations) (1998) (2)
Computability of the avoidance set and of the set-valued identification problem (2016) (2)
Why Ragin's Fuzzy Techniques Lead to Successful Social Science Applications: An Explanation (2016) (2)
Why Curvature in L-Curve: Combining Soft Constraints (2014) (2)
Why It Is Sufficient to Have Real-Valued Amplitudes in Quantum Computing (2021) (2)
How Important is Theory for Practical Problems? A Partial Explanation of Hartmanis' Observation (2000) (2)
Algorithmic Aspects of Analysis, Prediction, and Control in Science and Engineering: An Approach Based on Symmetry and Similarity (2014) (2)
Why Bohmian Approach to Quantum Econometrics: An Algebraic Explanation (2018) (2)
HOW TO TAKE INTO ACCOUNT MODEL INACCURACY WHEN ESTIMATING THE UNCERTAINTY OF THE RESULT OF DATA PROCESSING (2015) (2)
Epicycles are almost as good as trigonometric series: general system-based analysis (2019) (2)
Diversity Is Beneficial for a Research Group: One More Quantitative Argument (2014) (2)
A Special Session on Granular Computing and Interval Computations at the 19th International Conference of the North American Fuzzy Information Processing Society (NAFIPS) Atlanta, Georgia, July 13–15, 2000 (2001) (2)
Towards an Optimal Approach to Soft Constraint Problems (2005) (2)
I-Complexity and Discrete Derivative of Logarithms: A Symmetry-Based Explanation (2012) (2)
Faster Quantum Alternative to Softmax Selection in Deep Learning and Deep Reinforcement Learning (2019) (2)
One More Mathematical Argument in Favor of Interdisciplinary Research and Diversity (2014) (2)
How Can We Explain Different Number Systems? (2019) (2)
For Fuzzy Logic, Occam's Principle Explains the Ubiquity of the Golden Ratio and of the 80-20 Rule (2017) (2)
Dimension Compactification—A Possible Explanation for Superclusters and for Empirical Evidence Usually Interpreted as Dark Matter (2003) (2)
Modelling Measurement Processes as Timed Information Processes in Simplex Domains (2004) (2)
How to Estimate Amount of Useful Information, in Particular Under Imprecise Probability (2016) (2)
How to Efficiently Store Intermediate Results in Quantum Computing: Theoretical Explanation of the Current Algorithm (2020) (2)
How to Make Machine Learning Robust Against Adversarial Inputs (2016) (2)
Adding Fuzzy Integral to Fuzzy Control (1998) (2)
What Decision to Make in a Conflict Situation Under Interval Uncertainty: Efficient Algorithms for the Hurwicz Approach (2017) (2)
Estimating a probability distribution corresponding to the negation of a property (2021) (2)
Solving Differential Equations (1998) (2)
Computing Linear and Nonlinear Normal Modes under Interval (and Fuzzy) Uncertainty (2006) (2)
Application-motivated combinations of fuzzy, interval and probability approaches, with application to geoinformatics, bioinformatics, and engineering (2007) (2)
How to divide students into groups so as to optimize learning: Towards a solution to a pedagogy-related optimization problem (2012) (2)
Towards a General Description of Translation-Invariant and Translation-Covariant Linear Transformations: A Natural Justification of Fourier Transforms and Fuzzy Transforms (2011) (2)
Adding Constraints - A (Seemingly Counterintuitive but) Useful Heuristic in Solving Difficult Problems (2014) (2)
Why Feynman Path Integration (2010) (2)
A Full Function-Based Calculus of Directed and Undirected Intervals: Markov'S Interval Arithmetic Revisited (2004) (2)
Why ancient Egyptians preferred some sum-of-inverses representations of fractions? (2020) (2)
Epicycles are almost as good as trigonometric series: general system-based analysis (2019) (2)
How the amount of cracks and potholes grows with time: Symmetry-based explanation of empirical dependencies (2020) (2)
Optimization Under Fuzzy Constraints: From a Heuristic Algorithm to an Algorithm that Always Converges (2018) (2)
Which t-Norm Is Most Appropriate for Bellman-Zadeh Optimization (2018) (2)
How to estimate relative spatial resolution of different maps or images of the same area? (2014) (2)
Why are Vine Copulas so Successful in Econometrics? (2015) (2)
How to Make Plausibility-Based Forecasting More Accurate (2017) (2)
Everything is a matter of degree: A new theoretical justification of Zadeh’s principle (2008) (2)
Multimedia, Soft Computing, and Bioinformatics, by Data Mining (2005) (2)
Why h-Index (2020) (2)
How to Predict Nesting Sites (2015) (2)
Why awe makes people more generous (2016) (2)
Using Patterns and Composite Propositions to Automate the Generation of LTL Specifications (2007) (2)
Explaining Boris Pasternak's Observation that Complex Ideas Are Sometimes Easier to Understand (2016) (2)
Why Tensors? (2014) (2)
Under Physics-Motivated Constraints, Generally-Non-Algorithmic Computational Problems become Algorithmically Solvable (2014) (2)
HOW TO TAKE INTO ACCOUNT MODEL INACCURACY WHEN ESTIMATING THE UNCERTAINTY OF THE RESULT OF DATA PROCESSING (2015) (2)
From [0,1]-Based Logic to Interval Logic (From Known Description of All Possible [0,1]-Based Logical Operations to a Description of All Possible Interval-Based Logical Operations) (2002) (2)
Geombinatoric Aspects of Processing Large Images and Large Spatial Databases (1999) (2)
How Mathematics and Computing Can Help Fight the Pandemic: Two Pedagogical Examples (2021) (2)
Why Tensors? (2014) (2)
Fuzzy without Fuzzy: Why Fuzzy-Related Aggregation Techniques Are Often Better Even in Situations without True Fuzziness (2009) (2)
Kolmogorov complexity leads to a representation theorem for idempotent probabilities (σ-maxitive measures) (2005) (2)
Encryption algorithms made natural (1999) (2)
EFFICIENT OPTICAL APPROACH TO FUZZY DATA PROCESSING BASED ON COLORS AND LIGHT FILTERS (2022) (2)
Fast rotation of a 3D image about an arbitrary line (1993) (2)
Why Immediate Repetition Is Good for Short-Time Learning Results but Bad for Long-Time Learning: Explanation Based on Decision Theory (2020) (2)
So how were the tents of Israel placed? A bible-inspired geometric problem (2021) (2)
WHY PHYSICAL PROCESSES ARE SMOOTH OR ALMOSTSMOOTH: A POSSIBLE PHYSICAL EXPLANATION BASEDON INTUITIVE IDEAS BEHIND ENERGY CONSERVATION (2021) (2)
Public Interest and Private Enterprize: New Developments (2021) (2)
How to Estimate Amount of Useful Information, in Particular Under Imprecise Probability (2016) (2)
Common Sense Addition Explained by Hurwicz Optimism-Pessimism Criterion (2019) (2)
Towards Designing Optimal Individualized Placement Tests (2013) (2)
IS 3K BACKGROUND OF COSMOLOGICAL ORIGIN OR IT IS A MIXTURE OF RADIATIONS OF SMALL SOURCES? (2006) (2)
How to Take Expert Uncertainty into Account: Economic Approach Illustrated by Pavement Engineering Applications (2018) (2)
Von Mises Failure Criterion in Mechanics of Materials: How to Efficiently Use it Under Interval and Fuzzy Uncertainty (2007) (2)
Towards Efficient Prediction of Decisions under Interval Uncertainty (2007) (2)
Why Bohmian Approach to Quantum Econometrics: An Algebraic Explanation (2018) (2)
Towards a More Realistic Definition of Feasibility (1996) (2)
On Gupta's derivation of the Einstein equations (1975) (2)
Combining Interval, Probabilistic, and Fuzzy Uncertainty: Foundations, Algorithms, Challenges -- An Overview (2005) (2)
Peak-End Rule: A Utility-Based Explanation (2018) (2)
Contrast Similarity Measures of Fuzzy Sets (2019) (2)
How to best compress 3-d measurement data under given guaranteed accuracy (2004) (2)
GEOMBINATORICS OF "SMART DUST" (2000) (2)
Measures of Specificity Used in the Principle of Justifiable Granularity: A Theoretical Explanation of Empirically Optimal Selections (2018) (2)
How Can We Explain Different Number Systems? (2019) (2)
Which Algorithms Are Feasible and Which Are Not: Fuzzy Techniques Can Help in Formalizing the Notion of Feasibility (2021) (2)
Why Mixture of Probability Distributions (2017) (2)
Why polynomial formulas in soft computing, decision making, etc.? (2010) (2)
Secure Multi-Agent Quantum Communication: Towards the Most Efficient Scheme (A Pedagogical Remark) (2018) (2)
Explaining Boris Pasternak's Observation that Complex Ideas Are Sometimes Easier to Understand (2016) (2)
Locating the Whole Pattern is Better than Locating its Pieces: A Geometric Explanation of an Empirical Phenomenon (1999) (2)
Soft computing approach to detecting discontinuities: Seismic analysis and beyond (2017) (2)
Status Quo Bias Actually Helps Decision Makers to Take Nonlinearity into Account: An Explanation (2019) (2)
Which t-Norm Is Most Appropriate for Bellman-Zadeh Optimization (2018) (2)
How the amount of cracks and potholes grows with time: Symmetry-based explanation of empirical dependencies (2020) (2)
All Kinds of Behavior are Possible in Chemical Kinetics: A Theorem and its Potential Applications to Chemical Computing (2011) (2)
Predictive Econometrics and Big Data (2018) (2)
WHY PHYSICAL PROCESSES ARE SMOOTH OR ALMOSTSMOOTH: A POSSIBLE PHYSICAL EXPLANATION BASEDON INTUITIVE IDEAS BEHIND ENERGY CONSERVATION (2021) (2)
So how were the tents of Israel placed? A bible-inspired geometric problem (2021) (2)
A Natural Formalization of Changing-One's-Mind Leads to Square Root of "Not" and to Complex-Valued Fuzzy Logic (2021) (2)
Contrast Similarity Measures of Fuzzy Sets (2019) (2)
How to Bargain: An Interval Approach (2011) (2)
Which Algorithms Are Feasible and Which Are Not: Fuzzy Techniques Can Help in Formalizing the Notion of Feasibility (2021) (2)
Membership functions representing a number vs. representing a set: Proof of unique reconstruction (2016) (2)
Feasible algorithms for lattice and directed subspaces (2014) (2)
Statistical Data Processing under Interval Uncertainty: Algorithms and Computational Complexity (2006) (2)
Theoretical Explanation of Bernstein Polynomials' Efficiency: They Are Optimal Combination of Optimal Endpoint-Related Functions (2011) (2)
Measures of Specificity Used in the Principle of Justifiable Granularity: A Theoretical Explanation of Empirically Optimal Selections (2018) (2)
How Design Quality Improves with Increasing Computational Abilities: General Formulas and Case Study of Aircraft Fuel Efficiency (2015) (2)
Guesstimation: A New Justification of the Geometric Mean Heuristic (2009) (2)
Qualitative conditioning in an interval-based possibilistic setting (2017) (2)
Avoiding Fake Boundaries in Set Interval Computing (2016) (2)
How to Deal with Uncertainties in Computing: From Probabilistic and Interval Uncertainty to Combination of Different Approaches, with Applications to Engineering and Bioinformatics (2017) (2)
How to Estimate Individual Contributions to a Group Project (2010) (2)
Efficient Algorithms for Synchronizing Localization Sensors under Interval Uncertainty∗ (2020) (2)
How to Decide Which Cracks Should Be Repaired First: Theoretical Explanation of Empirical Formulas (2020) (2)
Towards Faster Estimation of Statistics and ODEs Under Interval, P-Box, and Fuzzy Uncertainty: From Interval Computations to Rough Set-Related Computations (2011) (2)
Estimating Quality of Support Vector Machines Learning under Probabilistic and Interval Uncertainty: Algorithms and Computational Complexity (2008) (2)
Which bio-diversity indices are most adequate (2015) (2)
From Gauging Accuracy of Quantity Estimates to Gauging Accuracy and Resolution of Measuring Physical Fields (2009) (2)
Adding Constraints - A (Seemingly Counterintuitive but) Useful Heuristic in Solving Difficult Problems (2014) (2)
Kolmogorov complexity-based ideas for locating text in Web images (1999) (2)
A Variation on the Zero-One Law (1998) (2)
Is Langrangian Formalism Adequately Describing Energy Conservation (2013) (2)
Invariance-Based Justification of the Maximum Entropy Method and of Generalized Maximum Entropy Methods in Data Processing (2000) (2)
Static Timing Analysis Based on Partial Probabilistic Description of Delay Uncertainty (2006) (1)
Construction of Shear Wave Models by Applying Multi-Objective Optimization to Multiple Geophysical Data Sets (2015) (1)
A Multi-Objective Optimization Framework for Joint Inversion (2016) (1)
2-d analogues of Allen Interval Algebra for image analysis: towards justification (2001) (1)
Spatial Resolution for Processing Seismic Data: Type-2 Methods for Finding the Relevant Granular Structure (2010) (1)
Monte-Carlo-Type Techniques for Processing Interval Uncertainty , and Their Geophysical and Engineering Applications (2004) (1)
Aerospace Applications of Soft Computing and Interval Computations (with an Emphasis on Simulation and Modeling) (2002) (1)
Intelligent Mining in Image Databases , With Applications to Satellite Imagingand to Web (2000) (1)
Equations Of Physics Become Consistent If We Take Measurement Uncertainty Into Consideration (2021) (1)
Viability of Travel-time Sensitivity Testing for Estimating Uncertainty of Tomographic Velocity Models: A Case Study (2008) (1)
Decision Support System for the Safety of Ship Navigation Based on Optical Color Logic Gates (2022) (1)
Interval Methods in Remote Sensing: Reliable Sub-Division of Geological Areas (2001) (1)
Product of Partially Ordered Sets (Posets), with Potential Applications to Uncertainty Logic and Space-Time Geometry (2011) (1)
Fuzzy Ideas Explain a Complex Heuristic Algorithm for Gauging Pavement Conditions (2018) (1)
Uncertain information fusion and knowledge integration: How to take reliability into account (2017) (1)
Why it is important to precisiate goals (2016) (1)
Negations of Probability Distributions: A Survey (2021) (1)
How to Assign Points for Chores (2019) (1)
How Better Are Predictive Models: Analysis on the Practically Important Example of Robust Interval Uncertainty (2018) (1)
Occam's Razor Explains Matthew Effect (2015) (1)
In Engineering Classes, How to Assign Partial Credit: From Current Subjective Practice to Exact Formulas (Based on Computational Intelligence Ideas) (2015) (1)
In Fuzzy Decision Making, General Fuzzy Sets Can Be Replaced by Fuzzy Numbers (2017) (1)
Rewarding results or rewarding efforts (2012) (1)
Possible and Necessary Orders, Equivalences, etc.: From Modal Logic to Modal Mathematics (2012) (1)
Rosenzweig, equality, and assignment (2020) (1)
Wiener-Process-Type Evasive Aircraft Actions Are Indeed Optimal Against Anti-Aircraft Guns: Wiener's Data Revisited (2015) (1)
How effective are we: towards a more convincing Stochastic Frontier analysis (2021) (1)
Predictably (Boundedly) Rational: Examples of Seemingly Irrational Behavior Can Be Quantitatively Explained by Bounded Rationality (2020) (1)
Why Is Linear Quantile Regression Empirically Successful: A Possible Explanation (2017) (1)
Towards an Algebraic Description of Set Arithmetic (2016) (1)
STOCHASTIC CAUSALITY IS INCONSISTENT WITH THE LORENTZ GROUP (2013) (1)
Computations under time constraints: Algorithms developed for fuzzy computations can help (2011) (1)
Why Quantum Techniques Are a Good First Approximation to Economic Phenomena, and What Next (2021) (1)
When Revolutions Succeed? 80/20 Rule and 7 Plus Minus 2 Law Explain the 3.5% Rule (2019) (1)
How to Reconcile Maximum Entropy Approach with Intuition: E.g., Should Interval Uncertainty Be Represented by a Uniform Distribution (2020) (1)
Interval Estimates for Signal Processing: Special Purpose Hardware (1999) (1)
Tents of Israel revisited: audio privacy (2021) (1)
Several years of practice may not be as good as comprehensive training: Zipf’s law explains why (2020) (1)
When Can We Reduce Multi-Variable Range Estimation Problem to Two Fewer-Variable Problems? (2014) (1)
Limitations of Realistic Monte-Carlo Techniques in Estimating Interval Uncertainty (2016) (1)
TOWARDS UNIQUE PHYSICALLY MEANINGFUL DEFINITIONS OF RANDOM AND TYPICAL OBJECTS (2012) (1)
Logarithms Are Not Infinity: A Rational Physics-Related Explanation of the Mysterious Statement by Lev Landau (2019) (1)
Commonsense Explanations of Sparsity, Zipf Law, and Nash’s Bargaining Solution (2020) (1)
Attraction-Repulsion Forces Between Biological Cells: A Theoretical Explanation of Empirical Formulas (2020) (1)
Joule's 19th Century Energy Conservation Meta-Law and the 20th Century Physics (Quantum Mechanics and General Relativity): 21st Century Analysis (2019) (1)
How to Generate "Nice" Cubic Polynomials -- with Rational Coefficients, Rational Zeros and Rational Extrema: A Fast Algorithm (2019) (1)
Why Fuzzy Techniques in Explainable AI? Which Fuzzy Techniques in Explainable AI? (2021) (1)
Fuzzy techniques provide a theoretical explanation for the heuristic ℓp-regularization of signals and images (2016) (1)
How success in a task depends on the skills level: two uncertainty-based justifications of a semi-heuristic Rasch model (2015) (1)
Wiener's conjecture about transformation groups helps predict which fuzzy techniques work better (2014) (1)
r-bounded fuzzy measures are equivalent to ε-possibility measures (2014) (1)
From Tertullian's Credo Quia Absurdum to Bohr's Crazy Theories: A Rational Explanation of a Seemingly Irrational Idea (2015) (1)
Which Are the Correct Membership Functions? Correct "And"- and "Or"- Operations? Correct Defuzzification Procedure? (2020) (1)
Metrics for evaluation of lossy compression effects on digit recognition in SMD images (1999) (1)
How to Explain Usefulness of Different Results When Teaching Calculus: Example of the Mean Value Theorem (2013) (1)
"And"- and "Or"-operations for "double", "triple", etc. fuzzy sets (2014) (1)
Computing with Words: Towards a New Tuple-Based Formalization (2013) (1)
Let Us Use Negative Examples in Regression-Type Problems Too (2020) (1)
Why Deep Learning Is More Efficient than Support Vector Machines, and How it is Related to Sparsity Techniques in Signal Processing (2020) (1)
Fuzzy Logic Explains the Usual Choice of Logical Operations in 2-Valued Logic (2019) (1)
Analysis of effects of tablet PC technology in mathematical education of future teachers (2005) (1)
Neutron Lifetime Puzzle and Nuclear Stability: A Possible Relation (2019) (1)
Towards More Detailed Value-Added Teacher Assessments: How Intervals Can Help (2013) (1)
Strings Lead to Lattice-Type Causality (2011) (1)
Yet another possible explanation of Egyptian fractions: motivated by fairness (2020) (1)
Zipf 's Law and 7 ± 2 Principle Lead to a Possible Explanation of Daniel's Law (2014) (1)
Adding Unimodality or Independence Makes Interval Probability Problems NP-Hard (2006) (1)
How to describe measurement errors: A natural generalization of the Central Limit Theorem beyond normal (and other infinitely divisible) distributions (2022) (1)
A New Answer to Pauli's Question: Almost All Quantum States Can Be Uniquely Determined by Measuring Location and Momentum (2010) (1)
Physical Induction Explains Why Over-Realistic Animation Sometimes Feels Creepy (2017) (1)
On the Importance of Duality and Multi-Ality In Mathematics Education (2015) (1)
How to predict the number of vulnerabilities in a software system: A theoretical justification for an empirical formula (2015) (1)
Maximum Entropy Approach to Interbank Lending: Towards a More Accurate Algorithm (2017) (1)
FIVE REVOLUTIONARY IDEAS IN THE 1950s-70s SCIENCE: 90TH BIRTHDAY OF REVOLT PIMENOV (2021) (1)
When to Let in Late Students (2013) (1)
How to Gauge the Accuracy of Fuzzy Control Recommendations: A Simple Idea (2017) (1)
How to Explain (and Overcome) 2% Barrier in Teaching Computer Science: Towards New Applications of Fuzzy Ideas (2013) (1)
Coming up with a good question is not easy: A proof (2015) (1)
SEMIOTICS OF ABSTRACT / REAL IN THE OMSK ARTISTS’ WORKS (2016) (1)
How to Assess Individual Contributions to a Group Project (2018) (1)
Invariance Explains Multiplicative and Exponential Skedactic Functions (2016) (1)
Dialect or a New Language: A Possible Explanation of the 70% Mutual Intelligibility Threshold (2014) (1)
Physical Randomness Can Help in Computations (2021) (1)
Studying English Language Learners' Digital Practices in an Online Environment to Create Equal Learning Opportunities. (2017) (1)
How to Reconstruct the System's Dynamics by Differentiating Interval-Valued and Set-Valued Functions (2011) (1)
Which Distributions (or Families of Distributions) Best Represent Interval Uncertainty: Case of Permutation-Invariant Criteria (2020) (1)
Adversarial Teaching Approach to Cybersecurity: A Mathematical Model Explains Why It Works Well (2020) (1)
Why Right-Brain Cultures are More Flexible: A Possible Explanation of Yu. Manin's Observation (2015) (1)
How to Efficiently Compute Ranges Over a Difference Between Boxes, With Applications to Underwater Localization (2018) (1)
Avoiding Einstein-Podolsky-Rosen (EPR) Paradox: Towards a More Physically Adequate Description of a Quantum State (2019) (1)
How to Enhance Student Motivations by Borrowing from Ancient Tradition: Babylonian Method of Computing the Square Root (2018) (1)
Which material design is possible under additive manufacturing: A fuzzy approach (2017) (1)
An Ancient Bankruptcy Solution Makes Economic Sense (2018) (1)
Why most bright stars are binary but most dim stars are single: a simple qualitative explanation (2016) (1)
Computations under Time Constraints: Algorithms Developed for (2013) (1)
Intermediate Degrees Are Needed for the World to Be Cognizable: Towards a New Justification for Fuzzy Logic Ideas (2009) (1)
How to make sure that students spend enough time studying: Fuzzy-motivated optimization approach to selecting a grading policy (2012) (1)
Is the World Itself Fuzzy? Physical Arguments and Unexpected Computational Consequences of Zadeh's Vision (2015) (1)
Why stable teams are more efficient in education (2017) (1)
Fuzzy Sets Can Be Interpreted as Limits of Crisp Sets, and This Can Help to Fuzzify Crisp Notions (2013) (1)
Simplicity Is Worse Than Theft: A Constraint-Based Explanation of a Seemingly Counter-Intuitive Russian Saying (2014) (1)
Back to the future: Advanced control techniques justify-on a new level-traditional education practices (2013) (1)
Blockchains Beyond Bitcoin: Towards Optimal Level of Decentralization in Storing Financial Data (2018) (1)
Even in simple economic systems, equilibrium can be non-unique: an example (2021) (1)
Every Function Computable by an Arithmetic Single Use Expression is a Ratio of Two Multi-Linear Functions: A Theorem (2016) (1)
Order Relations Are Ubiquitously Fundamental: Alexandrov(-Zeeman) Theorem Extended from Space-Time Physics to Logical Reasoning and Decision Making (2021) (1)
Intuitive Idea of Implication Versus Formal Definition: How to Define the Corresponding Degree (2019) (1)
How to Enhance Student Motivations by Borrowing from Modern Practices: Can We Learn Algorithms from People Who Compute Fast (2018) (1)
Maximum Entropy Beyond Selecting Probability Distributions (2018) (1)
For Describing Uncertainty, Ellipsoids Are Better than Generic Polyhedra and Probably Better than Boxes: A Remark (2013) (1)
Why Rozenzweig-Style Midrashic Approach Makes Rational Sense: A Logical (Spinoza-Like) Explanation Of A Seemingly Non-Logical Approach (2013) (1)
Why Use a Fuzzy Partition in F-Transform? (2019) (1)
How to Define Average Class Size (and Deviations from the Average Class Size) in a Way Which Is Most Adequate for Teaching Effectiveness (2012) (1)
Why Beta Priors: Invariance-Based Explanation (2020) (1)
Beyond p-Boxes and Interval-Valued Moments: Natural Next Approximations to General Imprecise Probabilities (2020) (1)
A Recent Result about Random Metrics Explains Why All of Us Have Similar Learning Potential (2020) (1)
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Fuzzy-inspired hierarchical version of the von Neumann-Morgenstern solutions as a natural way to resolve collaboration-related conflicts (2016) (0)
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Computational Complexity of Planning, Diagnosis, and Diagnostic Planning in the Presence of Static Causal Laws (2000) (0)
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Interval Computations Technology in Mathematics Research : From Help in Theoretical Breakthroughs to Practically Useful Results About Numerical Methods (2008) (0)
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We Need Fuzzy Techniques to Design Successful Human-Like Robots (2021) (0)
Reconstructing an Open Order from Its Closure, with Applications to Space-Time Physics and to Logic (2012) (0)
Simpler-to-Describe Cases are Often More Difficult to Prove: A Possible Explanation (2014) (0)
A Bad Plan Is Better Than No Plan: A Theoretical Justification of an Empirical Observation (2018) (0)
Almost All Diophantine Sets Are Undecidable (2017) (0)
Adjoint Fuzzy Partition and Generalized Sampling Theorem (2016) (0)
Two runners in the time of social distancing, speedboats in the gulf of Finland: how to best pass? (2020) (0)
Can ideas behind ancient Egyptian fractions speed up modern computers? (2021) (0)
One Needs to Be Careful When Dismissing Outliers: A Realistic Example (2016) (0)
Deep mathematical results are the ones that connect seemingly unrelated areas: towards a formal proof of Gian-Carlo Rota's thesis (2014) (0)
Amanda Jansen, Rough Draft Math: Revising to Learn, Stenhouse Publishers, Portsmouth, New Hampshire, 2020 (2020) (0)
Fabio Cuzzolin, The Geometry of Uncertainty: The Geometry of Imprecise Probabilities Springer, Cham, Switzerland, 2021 (2021) (0)
Why Data Processing and Knowledge Processing Are Needed in the First Place : A Brief Reminder (2008) (0)
Optimal Search Under Constraints (2021) (0)
Shadows of Fuzzy Sets A Natural Way to Describe D and Multi D Fuzzy Uncertainty in Linguistic Terms (2010) (0)
Comparing US and Russian Grading Scales (2018) (0)
Uncertainty reasoning in expert systems (1993) (0)
2 From Multivariate Statistical Analysis to Random Sets (2007) (0)
So how to make group decisions? Arrow's impossibility theorem 70 years after (2021) (0)
Preface (1996) (0)
How to Determine the Stiffness of the Pavement's Upper Layer (Base) Based on the Overall Stiffness and the Stiffness of the Lower Layer (Subgrade) (2016) (0)
WHY WAS NICHOLSON’S THEORY SO SUCCESSFUL: AN EXPLANATION OF A MYSTERIOUS EPISODEIN 20 CENTURY ATOMIC PHYSICS (2021) (0)
Ranking-Based Voting Revisited: Maximum Entropy Approach Leads to Borda Count (and Its Versions) (2020) (0)
A Vice Copula Approach to Study Volatility and Dependency of Chinese Outbound Tourism Demand Destinations: Singapore, Malaysia, and Thailand (2014) (0)
Student autonomy improves learning (2016) (0)
Interval Methods in Knowledge Representation (1998) (0)
A Simpliied Version of the Tomography Problem Can Help to Estimate the Errors of Indirect Measurements. Error Estimation for Indirect Measurements { a Statistical Computational Problem: Formulation of the Problem and Known Methods of Solving It (1998) (0)
Allowing two moves in succession increases the game's bias: A theorem (2001) (0)
Kinematic Spaces and de Vries Algebras: Towards Possible Physical Meaning of de Vries Algebras (2012) (0)
Network Congestion: An Example of Non-Linear Extrapolation (1997) (0)
How to gauge reliability of a binary classification result: a simple case (2021) (0)
Fuzzy Sets As Strongly Consistent Random Sets (2017) (0)
TOWARDS A FORMAL DESCRIPTION OF UNDERSTANDABILITY (CAUSALITY, PRE-REQUISITES): FROM PROSOROV'S PHONOCENTRIC TOPOLOGY TO MORE GENERAL INTERIOR (CLOSURE) STRUCTURES (2014) (0)
---3 THE SHAPE OF THE SYMMETRIC SOLUTION SET (2005) (0)
Which Classes of Bi-Intervals Are Closed Under Addition? (2020) (0)
COVID-19 peak immunity values seem to follow log-normal distribution (2020) (0)
Optimizing Computer Representation and Computer Processing of Epistemic Uncertainty for Risk-Informed Decision Making: Finances etc. (2012) (0)
How to Select Typical Objects (2023) (0)
Modelling measurements as timed information processes in simplex domains (2004) (0)
Simulation Using Fighter Ants Algorithm with an Application on Efficient Team Building (2014) (0)
How to Gauge a Combination of Uncertainties of Different Type: General Foundations (2020) (0)
DEFINITION NOT SUFFICIENT ? Crisp case : (0)
How to Compute Von Neumann-morgenstern Solutions Cooperative Games and Von Neumann-morgenstern Solution (2015) (0)
Oscillating Exam Averages and Their Control-Theory Explanation (2015) (0)
A review of "Uncertain Dynamical System: Stability and Motion Control'' by A. A. Martynyuk and Yu. A. Martynyuk-Chernienko (2014) (0)
Why FLASH Radiotherapy Is Efficient: A Possible Explanation (2022) (0)

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