Olga Kosheleva
According to our database^{1},
Olga Kosheleva
authored at least 218 papers
between 1993 and 2023.
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Bibliography
2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Why Homogeneous Membranes Lead to Optimal Water Desalination: A Possible Explanation.
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Fuzzy Techniques, Laplace Indeterminacy Principle, and Maximum Entropy Approach Explain Lindy Effect and Help Avoid Meaningless Infinities in Physics.
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Why 70/100 Is Satisfactory? Why Five Letter Grades? Why Other Academic Conventions?
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Baudelaire's Ideas of Vagueness and Uniqueness in Art: AlgorithmBased Explanations.
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
How to Teach Advanced Highly Motivated Students: Teaching Strategy of Iosif Yakovlevich Verebeichik.
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
2022
How to Take All Available Information into Account in Fuzzy Decision Making: Beyond Traditional "And"  and "Or"  Operations.
J. Multiple Valued Log. Soft Comput., 2022
J. Intell. Fuzzy Syst., 2022
InvarianceBased Approach Explains Empirical Formulas from Pavement Engineering to Deep Learning.
Adv. Artif. Intell. Mach. Learn., 2022
Seemingly CounterIntuitive Features of GoodtoGreat Companies Actually Make Perfect Sense: Possible AlgorithmicsBased Explanations.
Proceedings of the IEEE 11th International Conference on Intelligent Systems, 2022
Proceedings of the IEEE 11th International Conference on Intelligent Systems, 2022
Proceedings of the IEEE 11th International Conference on Intelligent Systems, 2022
Proceedings of the Information Processing and Management of Uncertainty in KnowledgeBased Systems, 2022
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022
2021
ZNumbers: How They Describe Student Confidence and How They Can Explain (and Improve) Laplacian and Schroedinger Eigenmap Dimension Reduction in Data Analysis.
Proceedings of the Fuzzy Approaches for Soft Computing and Approximate Reasoning: Theories and Applications, 2021
Soft Comput., 2021
Impact of super heavy load vehicles on transportation infrastructure: economic aspects.
Soft Comput., 2021
Soft Comput., 2021
Estimating a probability distribution corresponding to the negation of a property.
Soft Comput., 2021
Why linear expressions in discounting and in empathy: a symmetrybased explanation.
Soft Comput., 2021
Soft Comput., 2021
Amanda Jansen, <i>Rough Draft Math: Revising to Learn</i>, Stenhouse Publishers, Portsmouth, New Hampshire, 2020.
J. Intell. Fuzzy Syst., 2021
Djuro G. Zrilic <i>Functional Processing of DeltaSigma BitStream</i>, Springer, Cham, Switzerland, 2020.
J. Intell. Fuzzy Syst., 2021
Wolfram Eilenberger <i>Time of the Magicians: Wittgenstein, Benjamin, Cassirer, Heidegger, and The Decade that Reinvented Philosophy</i> Penguin Press, New York, 2020.
J. Intell. Fuzzy Syst., 2021
Hung T. Nguyen, Carol L. Walker, and Elbert A. Walker <i>A First Course in Fuzzy Logic</i> (4th edition) CRC Press, Taylor & Francis Book, Boca Raton, Florida, 2019.
J. Intell. Fuzzy Syst., 2021
Joseph Henrich, <i>The WEIRDest People in the World: How the West Became Psychologically Peculiar and Particularly Prosperous</i>, Farrar, Straus, and Giroux, New York, 2020.
J. Intell. Fuzzy Syst., 2021
Int. J. Gen. Syst., 2021
Entropy, 2021
Computación y Sistemas, 2021
While, In General, Uncertainty Quantification (UQ) Is NPHard, Many Practical UQ Problems Can Be Made Feasible.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Uncertainty: Ideas Behind Neural Networks Lead Us Beyond KL Decomposition and Interval Fields.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Fuzzy Logic Leads to a More Adequate Way of Processing LikertScale Values: Case Study of Burnout.
Proceedings of the Explainable AI and Other Applications of Fuzzy Techniques, 2021
Proceedings of the Explainable AI and Other Applications of Fuzzy Techniques, 2021
Proceedings of the Explainable AI and Other Applications of Fuzzy Techniques, 2021
Each Realistic Continuous Functional Dependence Implies a Relation Between Some Variables: A Theoretical Explanation of a FuzzyRelated Empirical Phenomenon.
Proceedings of the Explainable AI and Other Applications of Fuzzy Techniques, 2021
A Natural Formalization of ChangingOne'sMind Leads to Square Root of "Not" and to ComplexValued Fuzzy Logic.
Proceedings of the Explainable AI and Other Applications of Fuzzy Techniques, 2021
Proceedings of the Explainable AI and Other Applications of Fuzzy Techniques, 2021
Proceedings of the Explainable AI and Other Applications of Fuzzy Techniques, 2021
2020
J. Adv. Comput. Intell. Intell. Informatics, 2020
How to Combine (Dis)Utilities of Different Aspects into a Single (Dis)Utility Value, and How This Is Related to Geometric Images of Happiness.
J. Adv. Comput. Intell. Intell. Informatics, 2020
Proceedings of the 15th IEEE International Conference of System of Systems Engineering, 2020
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Proceedings of the Fuzzy Information Processing 2020, 2020
How Mathematics and Computing Can Help Fight the Pandemic: Two Pedagogical Examples.
Proceedings of the Fuzzy Information Processing 2020, 2020
Which Algorithms Are Feasible and Which Are Not: Fuzzy Techniques Can Help in Formalizing the Notion of Feasibility.
Proceedings of the Fuzzy Information Processing 2020, 2020
Proceedings of the Fuzzy Information Processing 2020, 2020
How to Decide Which Cracks Should Be Repaired First: Theoretical Explanation of Empirical Formulas.
Proceedings of the Advances in Soft Computing, 2020
Proceedings of the Advances in Soft Computing, 2020
Adversarial Teaching Approach to Cybersecurity: A Mathematical Model Explains Why It Works Well.
Proceedings of the 24th International Conference on Information Visualisation, 2020
Proceedings of the 24th International Conference on Information Visualisation, 2020
Proceedings of the ISMSI '20: 2020 4th International Conference on Intelligent Systems, 2020
Why Deep Learning Is More Efficient than Support Vector Machines, and How it is Related to Sparsity Techniques in Signal Processing.
Proceedings of the ISMSI '20: 2020 4th International Conference on Intelligent Systems, 2020
Which Distributions (or Families of Distributions) Best Represent Interval Uncertainty: Case of PermutationInvariant Criteria.
Proceedings of the Information Processing and Management of Uncertainty in KnowledgeBased Systems, 2020
Proceedings of the Information Processing and Management of Uncertainty in KnowledgeBased Systems, 2020
White and BlackBox Computing and Measurements Under Limited Resources: Cloud, High Performance, and Quantum Computing, and Two Case Studies  Robotic Boat and Hierarchical Covid Testing.
Proceedings of the 2nd International Workshop on InformationCommunication Technologies & Embedded Systems (ICTES 2020) Mykolaiv, 2020
Relativistic Effects Can Be Used to Achieve a Universal SquareRoot (Or Even Faster) Computation Speedup.
Proceedings of the Fields of Logic and Computation III, 2020
Why Decimal System and Binary System Are the Most Widely Used: A Possible Explanation.
Proceedings of the Decision Making under Constraints, 2020
Proceedings of the Decision Making under Constraints, 2020
AttractionRepulsion Forces Between Biological Cells: A Theoretical Explanation of Empirical Formulas.
Proceedings of the Decision Making under Constraints, 2020
Proceedings of the Decision Making under Constraints, 2020
Italian Folk Multiplication Algorithm Is Indeed Better: It Is More Parallelizable.
Proceedings of the Decision Making under Constraints, 2020
2019
How to Take Expert Uncertainty into Account: Economic Approach Illustrated by Pavement Engineering Applications.
Proceedings of the Structural Changes and their Econometric Modeling, 2019
Proceedings of the Structural Changes and their Econometric Modeling, 2019
Quantum Approach Explains the Need for Expert Knowledge: On the Example of Econometrics.
Proceedings of the Structural Changes and their Econometric Modeling, 2019
Russ. Digit. Libr. J., 2019
Russ. Digit. Libr. J., 2019
Russ. Digit. Libr. J., 2019
Russ. Digit. Libr. J., 2019
Computación y Sistemas, 2019
Axioms, 2019
Why Triangular Membership Functions Are Successfully Used in FTransform Applications: A Global Explanation to Supplement the Existing Local Ones.
Axioms, 2019
Proceedings of the Parallel Processing and Applied Mathematics, 2019
ProbabilityBased Approach Explains (and Even Improves) Heuristic Formulas of Defuzzification.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2019
Logarithms Are Not Infinity: A Rational PhysicsRelated Explanation of the Mysterious Statement by Lev Landau.
Proceedings of the Fuzzy Techniques: Theory and Applications, 2019
How to Fuse Expert Knowledge: Not Always "And" but a Fuzzy Combination of "And" and "Or".
Proceedings of the Fuzzy Techniques: Theory and Applications, 2019
Proceedings of the Fuzzy Techniques: Theory and Applications, 2019
Can We Improve the Standard Algorithm of Interval Computation by Taking Almost Monotonicity into Account?
Proceedings of the Fuzzy Techniques: Theory and Applications, 2019
High Concentrations Naturally Lead to FuzzyType Interactions and to Gravitational Wave Bursts.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019
In Its Usual Formulation, Fuzzy Computation Is, In General, NPHard, But a More Realistic Formulation Can Make It Feasible.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019
Between Dog and Wolf: A Continuous Transition from Fuzzy to Probabilistic Estimates.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019
Physics's Need for Interval Uncertainty and How It Explains Why Physical Space Is (at Least) 3Dimensional.
Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, 2019
Why Quantum (Wave Probability) Models Are a Good Description of Many Nonquantum Complex Systems, and How to Go Beyond Quantum Models.
Proceedings of the Beyond Traditional Probabilistic Methods in Economics, 2019
Blockchains Beyond Bitcoin: Towards Optimal Level of Decentralization in Storing Financial Data.
Proceedings of the Beyond Traditional Probabilistic Methods in Economics, 2019
2018
How to Gauge Accuracy of Processing Big Data: Teaching Machine Learning Techniques to Gauge Their Own Accuracy.
Proceedings of the Predictive Econometrics and Big Data, 2018
How Better Are Predictive Models: Analysis on the Practically Important Example of Robust Interval Uncertainty.
Proceedings of the Predictive Econometrics and Big Data, 2018
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Do It Today or Do It Tomorrow: Empirical Nonexponential Discounting Explained by Symmetry Ideas.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2018
Quantum Econometrics: How to Explain Its Quantitative Successes and How the Resulting Formulas Are Related to Scale Invariance, Entropy, and Fuzziness.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2018
Why Triangular Membership Functions are Often Efficient in Ftransform Applications: Relation to Probabilistic and Interval Uncertainty and to Haar Wavelets.
Proceedings of the Information Processing and Management of Uncertainty in KnowledgeBased Systems. Theory and Foundations, 2018
How to Detect Crisp Sets Based on Subsethood Ordering of Normalized Fuzzy Sets? How to Detect Type1 Sets Based on Subsethood Ordering of Normalized IntervalValued Fuzzy Sets?
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018
Measures of Specificity Used in the Principle of Justifiable Granularity: A Theoretical Explanation of Empirically Optimal Selections.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018
Why Student Distributions? Why Matern's Covariance Model? A SymmetryBased Explanation.
Proceedings of the Econometrics for Financial Applications, 2018
Proceedings of the Econometrics for Financial Applications, 2018
Proceedings of the Econometrics for Financial Applications, 2018
Efficient ParameterEstimating Algorithms for SymmetryMotivated Models: Econometrics and Beyond.
Proceedings of the Econometrics for Financial Applications, 2018
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
Studies in Computational Intelligence 750, Springer, ISBN: 9783662559932, 2018
2017
Robustness as a Criterion for Selecting a Probability Distribution Under Uncertainty.
Proceedings of the Robustness in Econometrics, 2017
Proceedings of the Robustness in Econometrics, 2017
How to Explain Ubiquity of Constant Elasticity of Substitution (CES) Production and Utility Functions Without Explicitly Postulating CES.
Proceedings of the Robustness in Econometrics, 2017
Proceedings of the Fuzzy Logic in Intelligent System Design, 2017
Proceedings of the Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 2017
Uncertain information fusion and knowledge integration: How to take reliability into account.
Proceedings of the Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 2017
It is possible to determine exact fuzzy values based on an ordering of intervalvalued or setvalued fuzzy degrees.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
2016
Why Some Families of Probability Distributions Are Practically Efficient: A SymmetryBased Explanation.
Proceedings of the Causal Inference in Econometrics, 2016
Proceedings of the Causal Inference in Econometrics, 2016
Proceedings of the Causal Inference in Econometrics, 2016
Proceedings of the Recent Developments and the New Direction in SoftComputing Foundations and Applications, 2016
Proceedings of the Recent Developments and the New Direction in SoftComputing Foundations and Applications, 2016
Chemical Kinetics in Situations Intermediate Between Usual and High Concentrations: FuzzyMotivated Derivation of the Formulas.
Proceedings of the Recent Developments and the New Direction in SoftComputing Foundations and Applications, 2016
How to Predict Nesting Sites and How to Measure Shoreline Erosion: Fuzzy and Probabilistic Techniques for EnvironmentRelated Spatial Data Processing.
Proceedings of the Recent Developments and the New Direction in SoftComputing Foundations and Applications, 2016
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
Fuzzyinspired hierarchical version of the von NeumannMorgenstern solutions as a natural way to resolve collaborationrelated conflicts.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
How resilient modulus of a pavement depends on moisture level: Towards a theoretical justification of a practically important empirical formula.
Proceedings of the 2016 Annual Conference of the North American Fuzzy Information Processing Society, 2016
Towards the most robust way of assigning numerical degrees to ordered labels, with possible applications to dark matter and dark energy.
Proceedings of the 2016 Annual Conference of the North American Fuzzy Information Processing Society, 2016
Need for Most Accurate Discrete Approximations Explains Effectiveness of Statistical Methods Based on HeavyTailed Distributions.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2016
How to Select an Appropriate Similarity Measure: Towards a SymmetryBased Approach.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2016
Membership functions representing a number vs. representing a set: Proof of unique reconstruction.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
Fuzzy techniques provide a theoretical explanation for the heuristic ℓpregularization of signals and images.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
Proceedings of the Advances in Stochastic and Deterministic Global Optimization., 2016
2015
Is the World Itself Fuzzy? Physical Arguments and Unexpected Computational Consequences of Zadeh's Vision.
Proceedings of the Fifty Years of Fuzzy Logic and its Applications, 2015
Formalizing the Informal, Precisiating the Imprecise: How Fuzzy Logic Can Help Mathematicians and Physicists by Formalizing Their Intuitive Ideas.
Proceedings of the Towards the Future of Fuzzy Logic, 2015
J. Intell. Fuzzy Syst., 2015
How Design Quality Improves with Increasing Computational Abilities: General Formulas and Case Study of Aircraft Fuel Efficiency.
J. Adv. Comput. Intell. Intell. Informatics, 2015
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2015
In Engineering Classes, How to Assign Partial Credit: From Current Subjective Practice to Exact Formulas (Based on Computational Intelligence Ideas).
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
From 1D to 2D fuzzy: A proof that intervalvalued and complexvalued are the only distributive options.
Proceedings of the 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015
Proceedings of the 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015
Simple linear interpolation explains all usual choices in fuzzy techniques: Membership functions, tnorms, tconorms, and defuzzification.
Proceedings of the 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015
Model reduction: Why it is possible and how it can potentially help to control swarms of Unmanned Arial Vehicles (UAVs).
Proceedings of the 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015
Proceedings of the 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015
Why ARMAXGARCH Linear Models Successfully Describe Complex Nonlinear Phenomena: A Possible Explanation.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2015
Why Copulas Have Been Successful in Many Practical Applications: A Theoretical Explanation Based on Computational Efficiency.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2015
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
How to take into account a student's degree of certainty when evaluating the test results.
Proceedings of the 2015 IEEE Frontiers in Education Conference, 2015
How success in a task depends on the skills level: two uncertaintybased justifications of a semiheuristic Rasch model.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSAEUSFLAT15), 2015
Adding possibilistic knowledge to probabilities makes many problems algorithmically decidable.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSAEUSFLAT15), 2015
2014
Why Ellipsoid Constraints, Ellipsoid Clusters, and Riemannian SpaceTime: Dvoretzky's Theorem Revisited.
Proceedings of the Constraint Programming and Decision Making, 2014
Adding Constraints  A (Seemingly Counterintuitive but) Useful Heuristic in Solving Difficult Problems.
Proceedings of the Constraint Programming and Decision Making, 2014
Proceedings of the Constraint Programming and Decision Making, 2014
Simplicity Is Worse Than Theft: A ConstraintBased Explanation of a Seemingly CounterIntuitive Russian Saying.
Proceedings of the Constraint Programming and Decision Making, 2014
Algorithmics of Checking whether a Mapping Is Injective, Surjective, and/or Bijective.
Proceedings of the Constraint Programming and Decision Making, 2014
Int. J. Knowl. Eng. Soft Data Paradigms, 2014
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
Proceedings of the Scientific Computing, Computer Arithmetic, and Validated Numerics, 2014
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
Approximate nature of traditional fuzzy methodology naturally leads to complexvalued fuzzy degrees.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
2013
Fuzzy Sets Can Be Interpreted as Limits of Crisp Sets, and This Can Help to Fuzzify Crisp Notions.
Proceedings of the Advance Trends in Soft Computing, 2013
Proceedings of the IEEE International Conference on Systems, 2013
A SymmetryBased Approach to Selecting Membership Functions and Its Relation to Chemical Kinetics.
Proceedings of the IEEE International Conference on Systems, 2013
Proceedings of the IEEE International Conference on Systems, 2013
Data anonymization that leads to the most accurate estimates of statistical characteristics: Fuzzymotivated approach.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013
Back to the future: Advanced control techniques justifyon a new leveltraditional education practices.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013
Why complexvalued fuzzy? Why complex values in general? A computational explanation.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013
2012
Can We Learn Algorithms from People Who Compute Fast: An Indirect Analysis in the Presence of Fuzzy Descriptions.
Proceedings of the Soft Computing in Humanities and Social Sciences, 2012
How to divide students into groups so as to optimize learning: Towards a solution to a pedagogyrelated optimization problem.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012
Proceedings of the FUZZIEEE 2012, 2012
How to make sure that students spend enough time studying: Fuzzymotivated optimization approach to selecting a grading policy.
Proceedings of the FUZZIEEE 2012, 2012
2011
How to Reconstruct the System's Dynamics by Differentiating IntervalValued and SetValued Functions.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 2011
2010
How AIType Uncertainty Ideas Can Improve InterDisciplinary Collaboration and Education: Lessons from a Case Study.
J. Adv. Comput. Intell. Intell. Informatics, 2010
Proceedings of the FUZZIEEE 2010, 2010
Proceedings of the FUZZIEEE 2010, 2010
Proceedings of the FUZZIEEE 2010, 2010
2009
Intermediate Degrees Are Needed for the World to Be Cognizable: Towards a New Justification for Fuzzy Logic Ideas.
Proceedings of the Foundations of Computational Intelligence, 2009
Decision making beyond arrow's "impossibility theorem, " with the analysis of effects of collusion and mutual attraction.
Int. J. Intell. Syst., 2009
Tradeoff between sample size and accuracy: Case of measurements under interval uncertainty.
Int. J. Approx. Reason., 2009
Informatics Educ., 2009
Intelligence techniques are needed to further enhance the advantage of groups with diversity in problem solving.
Proceedings of the 2009 IEEE Workshop on Hybrid Intelligent Models and Applications, 2009
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009
Can We Learn Algorithms from People Who Compute Fast: an indirect analysis in the presence of fuzzy descriptions.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009
2008
TradeOff between Sample Size and Accuracy: Case of Dynamic Measurements under Interval Uncertainty.
Proceedings of the Interval / Probabilistic Uncertainty and NonClassical Logics, 2008
Computational complexity of determining which statements about causality hold in different spacetime models.
Theor. Comput. Sci., 2008
How to reconcile physical theories with the idea of free will: From analysis of a simple model to interval and fuzzy approaches.
Proceedings of the FUZZIEEE 2008, 2008
Selecting the most representative sample is NPhard: Need for expert (fuzzy) knowledge.
Proceedings of the FUZZIEEE 2008, 2008
2007
Reliab. Comput., 2007
Informatics Educ., 2007
2006
Rate distortion optimal bit allocation methods for volumetric data using JPEG 2000.
IEEE Trans. Image Process., 2006
Reliab. Comput., 2006
2005
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005
To properly reflect physicists' reasoning about randomness, we also need a maxitive (possibility) measure.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005
2004
On the optimal choice of quality metric in image compression: a soft computing approach.
Soft Comput., 2004
Proceedings of the Applied Parallel Computing, 2004
MSE Optimal Bit Rate Allocation in the Application of JPEG2000 Part 2 to Meteorological Data.
Proceedings of the 2004 Data Compression Conference (DCC 2004), 2004
2003
Interval + Communications = Walsh: For signal multiplexing under interval uncertainty, Walsh functions are optimal.
J. Intell. Fuzzy Syst., 2003
Robust Methodology for Characterizing System Response to Damage: Approach Based on Partial Order.
Proceedings of the LargeScale Scientific Computing, 4th International Conference, 2003
Assessment of KLT and bitallocation strategies in the application of JPEG 2000 to the battlescale forecast meteorological data.
Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003
2002
Proceedings of the 5th IEEE Southwest Symposium on Image Analysis and Interpretation, 2002
Proceedings of the 5th IEEE Southwest Symposium on Image Analysis and Interpretation, 2002
2001
Reliab. Comput., 2001
1999
Reliab. Comput., 1999
Error Estimation for Indirect Measurements: Interval Computation Problem Is (Slightly) Harder Than a Similar Probabilistic Computational Problem.
Reliab. Comput., 1999
Reliab. Comput., 1999
1998
Reliab. Comput., 1998
Reliab. Comput., 1998
Hilbert Problems (Almost) 100 Years Later (From the Viewpoint of Interval Computations).
Reliab. Comput., 1998
Interval + Image = Wavelet: For Image Processing under Interval Uncertainty, Wavelets Are Optimal.
Reliab. Comput., 1998
Expanding Queries to Incomplete Databases by Interpolating General Logic Programs.
J. Log. Program., 1998
1997
Fast implementations of fuzzy arithmetic operations using fast Fourier transform (FFT).
Fuzzy Sets Syst., 1997
Fuzzy Sets Syst., 1997
1996
Is the success of fuzzy logic really paradoxical?: Toward the actual logic behind expert systems.
Int. J. Intell. Syst., 1996
Design of Radix2 and Radix4 FFT Processors Using a Modular Architecture Family.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 1996
1994
An Application of Logic to Combinatorial Geometry: How Many Tetrahedra are Equidecomposable with a Cube?
Math. Log. Q., 1994
1993
Approximating General Logic Programs.
Proceedings of the Logic Programming, 1993