Vladik Kreinovich

According to our database1, Vladik Kreinovich authored at least 529 papers between 1988 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of two.

Timeline

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Bibliography

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

Algorithmic Need for Subcopulas.
Proceedings of the Structural Changes and their Econometric Modeling, 2019

Why the Best Predictive Models Are Often Different from the Best Explanatory Models: A Theoretical Explanation.
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

Special issue on Similarity, Correlation and Association Measures.
Journal of Intelligent and Fuzzy Systems, 2019

Acknowledgements to the Referees (2018).
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2019

Why Use a Fuzzy Partition in F-Transform?
Axioms, 2019

Why Triangular Membership Functions Are Successfully Used in F-Transform Applications: A Global Explanation to Supplement the Existing Local Ones.
Axioms, 2019

A Scheduler for Smart Homes with Probabilistic User Preferences.
Proceedings of the PRIMA 2019: Principles and Practice of Multi-Agent Systems, 2019

Probability-Based 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 Physics-Related Explanation of the Mysterious Statement by Lev Landau.
Proceedings of the Fuzzy Techniques: Theory and Applications, 2019

Derivation of Louisville-Bratu-Gelfand Equation from Shift- or Scale-Invariance.
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

Why Grade Distribution Is Often Multi-modal: An Uncertainty-Based Explanation.
Proceedings of the Fuzzy Techniques: Theory and Applications, 2019

Fuzzy Approach to Optimal Placement of Health Centers.
Proceedings of the Fuzzy Techniques: Theory and Applications, 2019

How Accurately Can We Determine the Coefficients: Case of Interval Uncertainty.
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 Fuzzy-Type 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, NP-Hard, 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

Decision Making Under Interval Uncertainty: Beyond Hurwicz Pessimism-Optimism Criterion.
Proceedings of the Beyond Traditional Probabilistic Methods in Economics, 2019

Why Quantum (Wave Probability) Models Are a Good Description of Many Non-quantum 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

Why Threshold Models: A Theoretical Explanation.
Proceedings of the Beyond Traditional Probabilistic Methods in Economics, 2019

Why Hammerstein-Type Block Models Are so Efficient: Case Study of Financial Econometrics.
Proceedings of the Beyond Traditional Probabilistic Methods in Economics, 2019

2018
A Bad Plan Is Better Than No Plan: A Theoretical Justification of an Empirical Observation.
Proceedings of the Predictive Econometrics and Big Data, 2018

Quantitative Justification for the Gravity Model in Economics.
Proceedings of the Predictive Econometrics and Big Data, 2018

How to Estimate Statistical Characteristics Based on a Sample: Nonparametric Maximum Likelihood Approach Leads to Sample Mean, Sample Variance, etc.
Proceedings of the Predictive Econometrics and Big Data, 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

Kuznets Curve: A Simple Dynamical System-Based Explanation.
Proceedings of the Predictive Econometrics and Big Data, 2018

Combining Interval, Probabilistic, and Other Types of Uncertainty in Engineering Applications
Studies in Computational Intelligence 773, Springer, ISBN: 978-3-319-91025-3, 2018

Interval Methods in Knowledge Representation.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2018

Qualitative conditioning in an interval-based possibilistic setting.
Fuzzy Sets and Systems, 2018

Fuzzy Analogues of Sets and Functions Can Be Uniquely Determined from the Corresponding Ordered Category: A Theorem.
Axioms, 2018

Why Are FGM Copulas Successful? A Simple Explanation.
Adv. Fuzzy Systems, 2018

Optimization Under Fuzzy Constraints: From a Heuristic Algorithm to an Algorithm that Always Converges.
Proceedings of the Applied Computer Sciences in Engineering, 2018

Measurement-Type "Calibration" of Expert Estimates Improves Their Accuracy and Their Usability: Pavement Engineering Case Study.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Current Quantum Cryptography Algorithm Is Optimal: A Proof.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

How to Gauge Repair Risk?
Proceedings of the Fuzzy Information Processing, 2018

Towards Foundations of Fuzzy Utility: Taking Fuzziness into Account Naturally Leads to Intuitionistic Fuzzy Degrees.
Proceedings of the Fuzzy Information Processing, 2018

Do It Today or Do It Tomorrow: Empirical Non-exponential 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 F-transform Applications: Relation to Probabilistic and Interval Uncertainty and to Haar Wavelets.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018

How to Detect Crisp Sets Based on Subsethood Ordering of Normalized Fuzzy Sets? How to Detect Type-1 Sets Based on Subsethood Ordering of Normalized Interval-Valued 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 Symmetry-Based Explanation.
Proceedings of the Econometrics for Financial Applications, 2018

Maximum Entropy Beyond Selecting Probability Distributions.
Proceedings of the Econometrics for Financial Applications, 2018

An Ancient Bankruptcy Solution Makes Economic Sense.
Proceedings of the Econometrics for Financial Applications, 2018

Efficient Parameter-Estimating Algorithms for Symmetry-Motivated Models: Econometrics and Beyond.
Proceedings of the Econometrics for Financial Applications, 2018

Quantum Ideas in Economics Beyond Quantum Econometrics.
Proceedings of the Econometrics for Financial Applications, 2018

Is It Legitimate Statistics or Is It Sexism: Why Discrimination Is Not Rational.
Proceedings of the Econometrics for Financial Applications, 2018

Markowitz Portfolio Theory Helps Decrease Medicines' Side Effect and Speed up Machine Learning.
Proceedings of the Econometrics for Financial Applications, 2018

What If We Do Not Know Correlations?
Proceedings of the Econometrics for Financial Applications, 2018

2017
How to Make Plausibility-Based Forecasting More Accurate.
Proceedings of the Robustness in Econometrics, 2017

Robustness as a Criterion for Selecting a Probability Distribution Under Uncertainty.
Proceedings of the Robustness in Econometrics, 2017

Econometric Models of Probabilistic Choice: Beyond McFadden's Formulas.
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

Why Cannot We Have a Strongly Consistent Family of Skew Normal (and Higher Order) Distributions.
Proceedings of the Robustness in Econometrics, 2017

What Will Make Computers Faster: An Approach Based on Computational Complexity.
IJUC, 2017

A simple probabilistic explanation of term frequency-inverse document frequency (tf-idf) heuristic (and variations motivated by this explanation).
Int. J. General Systems, 2017

Why some physicists are excited about the undecidability of the spectral gap problem and why should we.
Bulletin of the EATCS, 2017

How Accurate Are Expert Estimations of Correlation?
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Predicting volcanic eruptions: Case study of rare events in chaotic systems with delay.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

In system identification, interval (and fuzzy) estimates can lead to much better accuracy than the traditional statistical ones: General algorithm and case study.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Soft computing approach to detecting discontinuities: Seismic analysis and beyond.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

What Decision to Make in a Conflict Situation Under Interval Uncertainty: Efficient Algorithms for the Hurwicz Approach.
Proceedings of the Parallel Processing and Applied Mathematics, 2017

Practical Need for Algebraic (Equality-Type) Solutions of Interval Equations and for Extended-Zero Solutions.
Proceedings of the Parallel Processing and Applied Mathematics, 2017

Taking into Account Interval (and Fuzzy) Uncertainty Can Lead to More Adequate Statistical Estimates.
Proceedings of the Fuzzy Logic in Intelligent System Design, 2017

Can We Detect Crisp Sets Based Only on the Subsethood Ordering of Fuzzy Sets? Fuzzy Sets and/or Crisp Sets Based on Subsethood of Interval-Valued Fuzzy Sets?
Proceedings of the Fuzzy Logic in Intelligent System Design, 2017

How to Gauge the Accuracy of Fuzzy Control Recommendations: A Simple Idea.
Proceedings of the Fuzzy Logic in Intelligent System Design, 2017

Normalization-Invariant Fuzzy Logic Operations Explain Empirical Success of Student Distributions in Describing Measurement Uncertainty.
Proceedings of the Fuzzy Logic in Intelligent System Design, 2017

Which material design is possible under additive manufacturing: A fuzzy approach.
Proceedings of the Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 2017

Scaling-invariant description of dependence between fuzzy variables: Towards a fuzzy version of copulas.
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

Fuzzy techniques explain empirical power law governing wars and terrorist attacks.
Proceedings of the Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 2017

How to Deal with Uncertainties in Computing: From Probabilistic and Interval Uncertainty to Combination of Different Approaches, with Applications to Engineering and Bioinformatics.
Proceedings of the Recent Advances in Artificial Intelligence Research and Development, 2017

It is possible to determine exact fuzzy values based on an ordering of interval-valued or set-valued fuzzy degrees.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016
Fuzzy, Intuitionistic Fuzzy, What Next?
Proceedings of the Imprecision and Uncertainty in Information Representation and Processing, 2016

Why Some Families of Probability Distributions Are Practically Efficient: A Symmetry-Based Explanation.
Proceedings of the Causal Inference in Econometrics, 2016

Invariance Explains Multiplicative and Exponential Skedactic Functions.
Proceedings of the Causal Inference in Econometrics, 2016

Across-the-Board Spending Cuts Are Very Inefficient: A Proof.
Proceedings of the Causal Inference in Econometrics, 2016

The general theory of decisions.
Inf. Sci., 2016

Fifty Years of Fuzzy Sets: Contributions to Fuzzy Theory (Preface to the Special Issue).
Int. J. Intell. Syst., 2016

Need for Data Processing Naturally Leads to Fuzzy Logic (and Neural Networks): Fuzzy Beyond Experts and Beyond Probabilities.
Int. J. Intell. Syst., 2016

Structure of Filled Functions: Why Gaussian and Cauchy Templates Are Most Efficient.
IJCOPI, 2016

A new reconstruction from the F-transform components.
Fuzzy Sets and Systems, 2016

On Selecting a Conjunction Operation in Probabilistic Soft Logic.
CoRR, 2016

How to Estimate Resilient Modulus for Unbound Aggregate Materials: A Theoretical Explanation of an Empirical Formula.
Proceedings of the Recent Developments and the New Direction in Soft-Computing Foundations and Applications, 2016

How to Describe Measurement Uncertainty and Uncertainty of Expert Estimates?
Proceedings of the Recent Developments and the New Direction in Soft-Computing Foundations and Applications, 2016

Beyond Traditional Applications of Fuzzy Techniques: Main Idea and Case Studies.
Proceedings of the Recent Developments and the New Direction in Soft-Computing Foundations and Applications, 2016

Chemical Kinetics in Situations Intermediate Between Usual and High Concentrations: Fuzzy-Motivated Derivation of the Formulas.
Proceedings of the Recent Developments and the New Direction in Soft-Computing Foundations and Applications, 2016

How to Predict Nesting Sites and How to Measure Shoreline Erosion: Fuzzy and Probabilistic Techniques for Environment-Related Spatial Data Processing.
Proceedings of the Recent Developments and the New Direction in Soft-Computing Foundations and Applications, 2016

Why Sparse? Fuzzy Techniques Explain Empirical Efficiency of Sparsity-Based Data- and Image-Processing Algorithms.
Proceedings of the Recent Developments and the New Direction in Soft-Computing Foundations and Applications, 2016

Robust data processing in the presence of uncertainty and outliers: Case of localization problems.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

How to transform partial order between degrees into numerical values.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Fuzzy-inspired hierarchical version of the von Neumann-Morgenstern solutions as a natural way to resolve collaboration-related conflicts.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Rotation-invariance can further improve state-of-the-art blind deconvolution techniques.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Which point from an interval should we choose?
Proceedings of the 2016 Annual Conference of the North American Fuzzy Information Processing Society, 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

Why ℓp-methods in signal and image processing: A fuzzy-based explanation.
Proceedings of the 2016 Annual Conference of the North American Fuzzy Information Processing Society, 2016

Greetings from NAFIPS 2016 organizing committee chairs.
Proceedings of the 2016 Annual Conference of the North American Fuzzy Information Processing Society, 2016

What if we use different "and"-operations in the same expert system.
Proceedings of the 2016 Annual Conference of the North American Fuzzy Information Processing Society, 2016

For Multi-interval-valued Fuzzy Sets, Centroid Defuzzification Is Equivalent to Defuzzifying Its Interval Hull: A Theorem.
Proceedings of the Advances in Computational Intelligence, 2016

Metric Spaces Under Interval Uncertainty: Towards an Adequate Definition.
Proceedings of the Advances in Computational Intelligence, 2016

A classification of representable t-norm operators for picture fuzzy sets.
Proceedings of the 2016 Eighth International Conference on Knowledge and Systems Engineering, 2016

Need for Most Accurate Discrete Approximations Explains Effectiveness of Statistical Methods Based on Heavy-Tailed Distributions.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2016

How to Select an Appropriate Similarity Measure: Towards a Symmetry-Based Approach.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2016

Adjoint Fuzzy Partition and Generalized Sampling Theorem.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 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

Comparison of formulations of applied tasks with intervals, fuzzy sets and probability approaches.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Fuzzy techniques provide a theoretical explanation for the heuristic ℓp-regularization of signals and images.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Set-Valued Conditioning in a Possibility Theory Setting.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Combining Interval and Probabilistic Uncertainty: What Is Computable?
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

What if We Only Have Approximate Stochastic Dominance?
Proceedings of the Econometrics of Risk, 2015

From Mean and Median Income to the Most Adequate Way of Taking Inequality into Account.
Proceedings of the Econometrics of Risk, 2015

Why Lattice-valued fuzzy values? A mathematical justification.
Journal of Intelligent and Fuzzy Systems, 2015

50 Years of fuzzy: from discrete to continuous to - Where?
Journal of Intelligent and Fuzzy Systems, 2015

Minimax Portfolio Optimization Under Interval Uncertainty.
JACIII, 2015

Security Risk Assessment: Towards a Justification for the Security Risk Factor Table Model.
JACIII, 2015

How Design Quality Improves with Increasing Computational Abilities: General Formulas and Case Study of Aircraft Fuel Efficiency.
JACIII, 2015

Fuzzy (and Interval) Techniques in the Age of Big Data: An Overview with Applications to Environmental Science, Geosciences, Engineering, and Medicine.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2015

50 Years of Fuzzy Sets: Preface.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2015

Necessary and sufficient conditions for generalized uniform fuzzy partitions.
Fuzzy Sets and Systems, 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

What is the Right Context for an Engineering Problem: Finding Such a Context is NP-Hard.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Optimizing Cloud Use Under Interval Uncertainty.
Proceedings of the Parallel Processing and Applied Mathematics, 2015

How to speed up software migration and modernization: Successful strategies developed by precisiating expert knowledge.
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

Sometimes, it is beneficial to process different types of uncertainty separately.
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

Symbolic Aggregate approXimation (SAX) under interval uncertainty.
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

From 1-D to 2-D fuzzy: A proof that interval-valued and complex-valued 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

Greetings.
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, t-norms, t-conorms, 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

Formalizing the informal, precisiating the imprecise: How fuzzy logic can help mathematicians and physicists by formalizing their intuitive ideas.
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 ARMAX-GARCH 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

Compatible-Based Conditioning in Interval-Based Possibilistic Logic.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Fuzzy Xor Classes from Quantum Computing.
Proceedings of the Artificial Intelligence and Soft Computing, 2015

How to estimate expected shortfall when probabilities are known with interval or fuzzy uncertainty.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

Why Sugeno λ-measures.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

Which bio-diversity indices are most adequate.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

On the Normalization of Interval-Based Possibility Distributions.
Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 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 uncertainty-based justifications of a semi-heuristic Rasch model.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 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 (IFSA-EUSFLAT-15), 2015

How geophysicists' intuition helps seismic data processing.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

2014
Towards an Efficient Bisection of Ellipsoids.
Proceedings of the Constraint Programming and Decision Making, 2014

Constraint-Related Reinterpretation of Fundamental Physical Equations Can Serve as a Built-In Regularization.
Proceedings of the Constraint Programming and Decision Making, 2014

Under Physics-Motivated Constraints, Generally-Non-Algorithmic Computational Problems become Algorithmically Solvable.
Proceedings of the Constraint Programming and Decision Making, 2014

Decision Making Under Interval Uncertainty (and Beyond).
Proceedings of the Human-Centric Decision-Making Models for Social Sciences, 2014

Adding Constraints - A (Seemingly Counterintuitive but) Useful Heuristic in Solving Difficult Problems.
Proceedings of the Constraint Programming and Decision Making, 2014

Why Tensors?
Proceedings of the Constraint Programming and Decision Making, 2014

Selecting the Best Location for a Meteorological Tower: A Case Study of Multi-objective Constraint Optimization.
Proceedings of the Constraint Programming and Decision Making, 2014

Simplicity Is Worse Than Theft: A Constraint-Based Explanation of a Seemingly Counter-Intuitive Russian Saying.
Proceedings of the Constraint Programming and Decision Making, 2014

Continuous If-Then Statements Are Computable.
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

Why Curvature in L-Curve: Combining Soft Constraints.
Proceedings of the Constraint Programming and Decision Making, 2014

Using Symmetries (Beyond Geometric Symmetries) in Chemical Computations: Computing Parameters of Multiple Binding Sites.
Symmetry, 2014

Filtering out high frequencies in time series using F-transform.
Inf. Sci., 2014

Dynamic fuzzy logic leads to more adequate 'and' and 'or' operations.
IJKESDP, 2014

How to fully represent expert information about imprecise properties in a computer system: random sets, fuzzy sets, and beyond: an overview.
Int. J. General Systems, 2014

Computers Should Be Uniters Not Dividers: A Vision of Computer-Enhanced Happy Future.
CoRR, 2014

Fuzzy Logic Ideas Can Help in Explaining Kahneman and Tversky's Empirical Decision Weights.
Proceedings of the Recent Developments and New Direction in Soft-Computing Foundations and Applications, 2014

A Vine Copula Approach for Analyzing Financial Risk and Co-movement of the Indonesian, Philippine and Thailand Stock Markets.
Proceedings of the Modeling Dependence in Econometrics, 2014

Vine Copulas As a Way to Describe and Analyze Multi-Variate Dependence in Econometrics: Computational Motivation and Comparison with Bayesian Networks and Fuzzy Approaches.
Proceedings of the Modeling Dependence in Econometrics, 2014

Studying Volatility and Dependency of Chinese Outbound Tourism Demand in Singapore, Malaysia, and Thailand: A Vine Copula Approach.
Proceedings of the Modeling Dependence in Econometrics, 2014

How to Detect Linear Dependence on the Copula Level?
Proceedings of the Modeling Dependence in Econometrics, 2014

How to estimate relative spatial resolution of different maps or images of the same area?
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

r-bounded fuzzy measures are equivalent to ε-possibility measures.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

How Much for an Interval? a Set? a Twin Set? a p-Box? A Kaucher Interval? Towards an Economics-Motivated Approach to Decision Making Under Uncertainty.
Proceedings of the Scientific Computing, Computer Arithmetic, and Validated Numerics, 2014

Towards the Possibility of Objective Interval Uncertainty.
Proceedings of the Scientific Computing, Computer Arithmetic, and Validated Numerics, 2014

"And"- and "Or"-operations for "double", "triple", etc. fuzzy sets.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

Towards decision making under interval, set-valued, fuzzy, and Z-number uncertainty: A fair price approach.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

Approximate nature of traditional fuzzy methodology naturally leads to complex-valued fuzzy degrees.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

Why Ricker wavelets are successful in processing seismic data: Towards a theoretical explanation.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions, 2014

If we take into account that constraints are soft, then processing constraints becomes algorithmically solvable.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions, 2014

2013
How to Describe and Propagate Uncertainty When Processing Time Series: Metrological and Computational Challenges, with Potential Applications to Environmental Studies.
Proceedings of the Time Series Analysis, Modeling and Applications, 2013

Orders on intervals over partially ordered sets: extending Allen's algebra and interval graph results.
Soft Comput., 2013

Special issue on "uncertainty modeling and analysis with intervals: foundations, tools, applications".
Soft Comput., 2013

Interval or moments: which carry more information?
Soft Comput., 2013

Checking Monotonicity is NP-Hard Even for Cubic Polynomials.
Reliable Computing, 2013

Is it Possible to Have a Feasible Enclosure-Computing Method Which Is Independent of the Equivalent Form?
Reliable Computing, 2013

Bayesian approach for inconsistent information.
Inf. Sci., 2013

Towards fast and accurate algorithms for processing fuzzy data: interval computations revisited.
Int. J. General Systems, 2013

Uncertainty in financial econometrics: Editorial.
Int. J. Approx. Reasoning, 2013

Density-Based Fuzzy Clustering as a First Step to Learning Rules: Challenges and Solutions.
Proceedings of the Advance Trends in Soft Computing, 2013

How to Gauge Accuracy of Measurements and of Expert Estimates: Beyond Normal Distributions.
Proceedings of the Advance Trends in Soft Computing, 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

Processing Quantities with Heavy-Tailed Distribution of Measurement Uncertainty: How to Estimate the Tails of the Results of Data Processing.
Proceedings of the Advance Trends in Soft Computing, 2013

Computing Covariance and Correlation in Optimally Privacy-Protected Statistical Databases: Feasible Algorithms.
Proceedings of the Advance Trends in Soft Computing, 2013

Towards Discrete Interval, Set, and Fuzzy Computations.
Proceedings of the IEEE International Conference on Systems, 2013

A Symmetry-Based Approach to Selecting Membership Functions and Its Relation to Chemical Kinetics.
Proceedings of the IEEE International Conference on Systems, 2013

Computing with Words: Towards a New Tuple-Based Formalization.
Proceedings of the IEEE International Conference on Systems, 2013

Likert-scale fuzzy uncertainty from a traditional decision making viewpoint: It incorporates both subjective probabilities and utility information.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

Towards a better understanding of space-time causality: Kolmogorov complexity and causality as a matter of degree.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

Why complex-valued fuzzy? Why complex values in general? A computational explanation.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

Estimating third central moment C3 for privacy case under interval and fuzzy uncertainty.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

Aggregation operations from quantum computing.
Proceedings of the FUZZ-IEEE 2013, 2013

Relation between polling and Likert-scale approaches to eliciting membership degrees clarified by quantum computing.
Proceedings of the FUZZ-IEEE 2013, 2013

Why inverse F-transform? A compression-based explanation.
Proceedings of the FUZZ-IEEE 2013, 2013

Data anonymization that leads to the most accurate estimates of statistical characteristics.
Proceedings of the IEEE Symposium on Computational Intelligence for Engineering Solutions, 2013

From p-boxes to p-ellipsoids: Towards an optimal representation of imprecise probabilities.
Proceedings of the IEEE Symposium on Computational Intelligence for Engineering Solutions, 2013

In the Beginning Was the Word, and the Word Was Fuzzy.
Proceedings of the On Fuzziness - A Homage to Lotfi A. Zadeh - Volume 1, 2013

Security games with interval uncertainty.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

F-transform in View of Aggregation Functions.
Proceedings of the Aggregation Functions in Theory and in Practise, 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

Computing Statistics under Interval and Fuzzy Uncertainty - Applications to Computer Science and Engineering
Studies in Computational Intelligence 393, Springer, 2012

Towards Symmetry-Based Explanation of (Approximate) Shapes of Alpha-Helices and Beta-Sheets (and Beta-Barrels) in Protein Structure.
Symmetry, 2012

Reconstructing an Open Order from Its Closure, with Applications to Space-Time Physics and to Logic.
Studia Logica, 2012

Validated templates for specification of complex LTL formulas.
Journal of Systems and Software, 2012

Uniqueness of reconstruction for Yager's t-norm combination of probabilistic and possibilistic knowledge.
Int. J. Intell. Syst., 2012

Towards interval techniques for model validation.
Computing, 2012

Efficient algorithms for heavy-tail analysis under interval uncertainty.
Annals OR, 2012

How to divide students into groups so as to optimize learning: Towards a solution to a pedagogy-related optimization problem.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Semi-heuristic poverty measures used by economists: Justification motivated by fuzzy techniques.
Proceedings of the FUZZ-IEEE 2012, 2012

Why bernstein polynomials are better: Fuzzy-inspired justification.
Proceedings of the FUZZ-IEEE 2012, 2012

Towards Formalizing Non-monotonic Reasoning in Physics: Logical Approach Based on Physical Induction and Its Relation to Kolmogorov Complexity.
Proceedings of the Correct Reasoning, 2012

Efficient Approximation for Security Games with Interval Uncertainty.
Proceedings of the Game Theory for Security, 2012

2011
SCAN 2008 Guest editors preface.
Reliable Computing, 2011

Quantum computation techniques for gauging reliability of interval and fuzzy data.
Int. J. General Systems, 2011

How to define a confidence set for functions: a new justification of the area method.
Int. J. General Systems, 2011

Square root of 'not': a major difference between fuzzy and quantum logics.
Int. J. General Systems, 2011

Fuzzy transforms of higher order approximate derivatives: A theorem.
Fuzzy Sets and Systems, 2011

Fuzzy transform as a new paradigm in fuzzy modeling.
Fuzzy Sets and Systems, 2011

Uncertainty modeling and analysis with intervals: Foundations, tools, applications (Dagstuhl Seminar 11371).
Dagstuhl Reports, 2011

Towards an (Even More) Natural Probabilistic Interpretation of Fuzzy Transforms (and of Fuzzy Modeling).
Adv. Fuzzy Systems, 2011

Why Fuzzy Transform Is Efficient in Large-Scale Prediction Problems: A Theoretical Explanation.
Adv. Fuzzy Systems, 2011

From processing interval-valued fuzzy data to general type-2: Towards fast algorithms.
Proceedings of the 2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems, 2011

Processing interval sensor data in the presence of outliers, with potential applications to localizing underwater robots.
Proceedings of the IEEE International Conference on Systems, 2011

Towards Faster Estimation of Statistics and ODEs Under Interval, P-Box, and Fuzzy Uncertainty: From Interval Computations to Rough Set-Related Computations.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 2011

Estimating Probability of Failure of a Complex System Based on Inexact Information about Subsystems and Components, with Potential Applications to Aircraft Maintenance.
Proceedings of the Advances in Soft Computing, 2011

No-Free-Lunch Result for Interval and Fuzzy Computing: When Bounds Are Unusually Good, Their Computation Is Unusually Slow.
Proceedings of the Advances in Soft Computing, 2011

Work in progress - The Rod-Spring approximation: An intuitive approach to the best-fit least-squares linear approximation.
Proceedings of the 2011 Frontiers in Education Conference, 2011

Cantor's Paradise Regained: Constructive Mathematics from Brouwer to Kolmogorov to Gelfond.
Proceedings of the Logic Programming, Knowledge Representation, and Nonmonotonic Reasoning, 2011

Linear-Time Resource Allocation in Security Games with Identical Fully Protective Resources.
Proceedings of the Applied Adversarial Reasoning and Risk Modeling, 2011

2010
From Computing Sets of Optima, Pareto Sets, and Sets of Nash Equilibria to General Decision-Related Set Computations.
J. UCS, 2010

Fast convolution and Fast Fourier Transform under interval and fuzzy uncertainty.
J. Comput. Syst. Sci., 2010

How AI-Type Uncertainty Ideas Can Improve Inter-Disciplinary Collaboration and Education: Lessons from a Case Study.
JACIII, 2010

Estimating information amount under uncertainty: algorithmic solvability and computational complexity.
Int. J. General Systems, 2010

Symmetries: A General Approach to Integrated Uncertainty Management.
Proceedings of the Integrated Uncertainty Management and Applications [revised papers from the International Symposium on Integrated Uncertainty Management and Applications, 2010

Spatial Resolution for Processing Seismic Data: Type-2 Methods for Finding the Relevant Granular Structure.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

Towards improved trapezoidal approximation to intersection (fusion) of trapezoidal fuzzy numbers: Specific procedure and general non-associativity theorem.
Proceedings of the FUZZ-IEEE 2010, 2010

Towards a more natural proof of metrization theorem for space-times.
Proceedings of the FUZZ-IEEE 2010, 2010

Multi-objective optimization under positivity constraints, with a meteorological example.
Proceedings of the FUZZ-IEEE 2010, 2010

Metrization Theorem for Space-Times: From Urysohn's Problem towards Physically Useful Constructive Mathematics.
Proceedings of the Fields of Logic and Computation, 2010

2009
Fuzzy without Fuzzy: Why Fuzzy-Related Aggregation Techniques Are Often Better Even in Situations without True Fuzziness.
Proceedings of the Foundations of Computational Intelligence, 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

Computational Methods for Investment Portfolio: The Use of Fuzzy Measures and Constraint Programming for Risk Management.
Proceedings of the Foundations of Computational Intelligence, 2009

Logit discrete choice model: a new distribution-free justification.
Soft Comput., 2009

Decision making beyond arrow's "impossibility theorem, " with the analysis of effects of collusion and mutual attraction.
Int. J. Intell. Syst., 2009

Decision science: Foundations and applications introduction to the special issue.
Int. J. Intell. Syst., 2009

Trade-off between sample size and accuracy: Case of measurements under interval uncertainty.
Int. J. Approx. Reasoning, 2009

Interval/Probabilistic Uncertainty: Editorial.
Int. J. Approx. Reasoning, 2009

Egyptian Fractions Revisited.
Informatics in Education, 2009

Verified Methods for Computing Pareto Sets: General Algorithmic Analysis.
Applied Mathematics and Computer Science, 2009

Toward Formalizing Non-Monotonic Reasoning in Physics: the Use of Kolmogorov Complexity.
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 2009

From Gauging Accuracy of Quantity Estimates to Gauging Accuracy and Resolution of Measuring Physical Fields.
Proceedings of the Parallel Processing and Applied Mathematics, 2009

On Decision Making under Interval Uncertainty: A New Justification of Hurwicz Optimism-Pessimism Approach and its Use in Group Decision Making.
Proceedings of the ISMVL 2009, 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

Towards Intuitive Understanding of the Cauchy Deviate Method for Processing Interval and Fuzzy Uncertainty.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

From Interval Computations to Constraint-Related Set Computations: Towards Faster Estimation of Statistics and ODEs under Interval and p-Box Uncertainty (Invited Talk).
Proceedings of the Sixth International Conference on Computability and Complexity in Analysis, 2009

2008
Computational Aspects of Aggregation in Biological Systems.
Proceedings of the Applications of Computational Intelligence in Biology: Current Trends and Open Problems, 2008

Decomposable Aggregability in Population Genetics and Evolutionary Computations: Algorithms and Computational Complexity.
Proceedings of the Computational Intelligence in Medical Informatics, 2008

Trade-Off between Sample Size and Accuracy: Case of Dynamic Measurements under Interval Uncertainty.
Proceedings of the Interval / Probabilistic Uncertainty and Non-Classical Logics, 2008

Trade-Off between Sample Size and Accuracy: Case of Static Measurements under Interval Uncertainty.
Proceedings of the Interval / Probabilistic Uncertainty and Non-Classical Logics, 2008

Estimating Quality of Support Vector Machines Learning under Probabilistic and Interval Uncertainty: Algorithms and Computational Complexity.
Proceedings of the Interval / Probabilistic Uncertainty and Non-Classical Logics, 2008

Fast Algorithms for Computing Statistics under Interval Uncertainty: An Overview.
Proceedings of the Interval / Probabilistic Uncertainty and Non-Classical Logics, 2008

Fuzzy Prediction Models in Measurement.
IEEE Trans. Fuzzy Systems, 2008

Static space-times naturally lead to quasi-pseudometrics.
Theor. Comput. Sci., 2008

Computational complexity of determining which statements about causality hold in different space-time models.
Theor. Comput. Sci., 2008

Asymmetric information measures: how to extract knowledge from an expert so that the expert's effort is minimal.
IJAAC, 2008

Application-motivated combinations of fuzzy, interval and probability approaches, and their use in geoinformatics, bioinformatics and engineering.
IJAAC, 2008

Maximum Entropy in Support of Semantically Annotated Datasets.
Proceedings of the Fourth International Workshop on Uncertainty Reasoning for the Semantic Web, 2008

Choquet Integrals and OWA Criteria as a Natural (and Optimal) Next Step after Linear Aggregation: A New General Justification.
Proceedings of the MICAI 2008: Advances in Artificial Intelligence, 2008

Towards more adequate representation of uncertainty: From intervals to set intervals, with the possible addition of probabilities and certainty degrees.
Proceedings of the FUZZ-IEEE 2008, 2008

2007
How to Efficiently Process Uncertainty within a Cyberinfrastructure without Sacrificing Privacy and Confidentiality.
Proceedings of the Computational Intelligence in Information Assurance and Security, 2007

Review of "Computational Techniques for the Summation of Series by Anthony Sofo", Kluwer Academic Publishers, 2003.
SIGACT News, 2007

Computing Population Variance and Entropy under Interval Uncertainty: Linear-Time Algorithms.
Reliable Computing, 2007

Interval-Related Talks at the Second International Conference on Fuzzy Sets and Soft Computing in Economics and Finance.
Reliable Computing, 2007

Interval-Related Talks at the North American Fuzzy Information Processing Society Annual Conference NAFIPS'06.
Reliable Computing, 2007

Interval Talks at the International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU'2006.
Reliable Computing, 2007

Monte-Carlo-Type Techniques for Processing Interval Uncertainty, and Their Potential Engineering Applications.
Reliable Computing, 2007

Interval-Related Talks at the North American Fuzzy Information Processing Society Annual Conference NAFIPS'07.
Reliable Computing, 2007

Interval-Related Talks at the 2007 IEEE Symposium Series on Computational Intelligence.
Reliable Computing, 2007

Unimodality, Independence Lead to NP-Hardness of Interval Probability Problems.
Reliable Computing, 2007

On the functional form of convex underestimators for twice continuously differentiable functions.
Optimization Letters, 2007

Editorial.
JACIII, 2007

Mathematical foundations for intelligent technologies.
Inf. Sci., 2007

On-line algorithms for computing mean and variance of interval data, and their use in intelligent systems.
Inf. Sci., 2007

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.
Inf. Sci., 2007

Towards adding probabilities and correlations to interval computations.
Int. J. Approx. Reasoning, 2007

Using expert knowledge in solving the seismic inverse problem.
Int. J. Approx. Reasoning, 2007

Entropy conserving probability transforms and the entailment principle.
Fuzzy Sets and Systems, 2007

Generating Linear Temporal Logic Formulas for Pattern-Based Specifications.
Proceedings of the Nineteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2007), 2007

Towards Efficient Prediction of Decisions under Interval Uncertainty.
Proceedings of the Parallel Processing and Applied Mathematics, 2007

Estimating Variance Under Interval and Fuzzy Uncertainty: Case of Hierarchical Estimation.
Proceedings of the Foundations of Fuzzy Logic and Soft Computing, 2007

From Interval Computations to Constraint-Related Set Computations: Towards Faster Estimation of Statistics and ODEs Under Interval, p-Box, and Fuzzy Uncertainty.
Proceedings of the Foundations of Fuzzy Logic and Soft Computing, 2007

Verification of Automatically Generated Pattern-Based LTL Specifications.
Proceedings of the Tenth IEEE International Symposium on High Assurance Systems Engineering (HASE 2007), 2007

Fuzzy Aggregation Techniques in Situations Without Experts: Towards A New Justification.
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007

Why Intervals? Why Fuzzy Numbers? Towards a New Justification.
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007

Using Patterns and Composite Propositions to Automate the Generation of LTL Specifications.
Proceedings of the Automated Technology for Verification and Analysis, 2007

2006
Aggregability is NP-hard.
SIGACT News, 2006

Los Alamos National Laboratory Uncertainty Workshop: An Interval Perspective.
Reliable Computing, 2006

Towards Combining Probabilistic and Interval Uncertainty in Engineering Calculations: Algorithms for Computing Statistics under Interval Uncertainty, and Their Computational Complexity.
Reliable Computing, 2006

Towards Optimal Use of Multi-Precision Arithmetic: A Remark.
Reliable Computing, 2006

Towards Real World Applications: Interval-Related Talks at NAFIPS'05.
Reliable Computing, 2006

Population Variance under Interval Uncertainty: A New Algorithm.
Reliable Computing, 2006

Interval-Related Talks at the International Conference on Fuzzy Systems, Neural Networks, and Genetic Algorithms FNG'05.
Reliable Computing, 2006

Dealing with Imprecise Probabilities: Interval-Related Talks at ISIPTA'05.
Reliable Computing, 2006

Expert System-Type Approach to Voice Disorders: Scheduling Botulinum Toxin Treatment for Adductor Spasmodic Dysphonia.
JACIII, 2006

Testing Hypotheses on Simulated Data: Why Traditional Hypotheses-Testing Statistics Are Not Always Adequate for Simulated Data, and How to Modify Them.
JACIII, 2006

Editorial.
JACIII, 2006

Optimal choice of granularity in commonsense estimation: Why half-orders of magnitude?
Int. J. Intell. Syst., 2006

Computing mean and variance under Dempster-Shafer uncertainty: Towards faster algorithms.
Int. J. Approx. Reasoning, 2006

Computing best-possible bounds for the distribution of a sum of several variables is NP-hard.
Int. J. Approx. Reasoning, 2006

Which fuzzy logic is the best: Pragmatic approach (and its theoretical analysis).
Fuzzy Sets and Systems, 2006

Statistical Data Processing under Interval Uncertainty: Algorithms and Computational Complexity.
Proceedings of the Soft Methods for Integrated Uncertainty Modelling, 2006

Quantum versions of k-CSP algorithms: a first step towards quantum algorithms for interval-related constraint satisfaction problems.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

Statistical timing based on incomplete probabilistic descriptions of parameter uncertainty.
Proceedings of the 43rd Design Automation Conference, 2006

2005
Kolmogorov complexity leads to a representation theorem for idempotent probabilities (sigma-maxitive measures).
SIGACT News, 2005

On quantum versions of record-breaking algorithms for SAT.
SIGACT News, 2005

Checking If There Exists a Monotonic Function That Is Consistent with the Measurements: An Efficient Algorithm.
Reliable Computing, 2005

Outlier Detection under Interval Uncertainty: Algorithmic Solvability and Computational Complexity.
Reliable Computing, 2005

Optimal Finite Characterization of Linear Problems with Inexact Data.
Reliable Computing, 2005

Exact Bounds on Finite Populations of Interval Data.
Reliable Computing, 2005

Reliable Computations and Their Applications (RCA) Track.
Reliable Computing, 2005

Handbook of Learning and Approximate Dynamic Programming, by Jennie Si, Andrew G. Barto, Warren B. Powell and Donald Wunsch II, eds.
Journal of Intelligent and Fuzzy Systems, 2005

Design of Logic-Based Intelligent Systems, by Klaus Truemper.
Journal of Intelligent and Fuzzy Systems, 2005

Multimedia, Soft Computing, and Bioinformatics, by Data Mining.
Journal of Intelligent and Fuzzy Systems, 2005

Real-Time Optimization by Extremum-Seeking Control, by Kartik B. Ariyur and Miroslav Krstic.
Journal of Intelligent and Fuzzy Systems, 2005

Mining the Web: Discovering Knowledge from Hypertext Data, by Soumen Chakrabarti and Morgan Kaufmann.
Journal of Intelligent and Fuzzy Systems, 2005

Beyond Convex? Global Optimization is Feasible Only for Convex Objective Functions: A Theorem.
J. Global Optimization, 2005

Minimality of a solution update in conflict resolution: An application of revision programming to the von Neumann-Morgenstern approach.
Int. J. Intell. Syst., 2005

Convergence properties of an interval probabilistic approach to system reliability estimation.
Int. J. General Systems, 2005

Computing the cube of an interval matrix is NP-Hard.
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

Editorial: track reliable computations and their applications.
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

Exact Bounds for Interval and Fuzzy Functions Under Monotonicity Constraints, with Potential Applications to Biostratigraphy.
Proceedings of the IEEE International Conference on Fuzzy Systems, 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
Research on advanced soft computing and its applications.
Soft Comput., 2004

Towards more realistic (e.g., non-associative) "and"- and "or"-operations in fuzzy logic.
Soft Comput., 2004

A new Cauchy-based black-box technique for uncertainty in risk analysis.
Rel. Eng. & Sys. Safety, 2004

Eliminating Duplicates under Interval and Fuzzy Uncertainty: An Asymptotically Optimal Algorithm and Its Geospatial Applications.
Reliable Computing, 2004

Dirty Pages of Logarithm Tables, Lifetime of the Universe, and (Subjective) Probabilities on Finite and Infinite Intervals.
Reliable Computing, 2004

Interval-Related Talks at InTech'03 - Chiang Mai, Thailand, December 17-19, 2003.
Reliable Computing, 2004

Special Session "Set-Valued Numerics and Reliable Computing" - Sozopol, Bulgaria, June 4-8, 2003.
Reliable Computing, 2004

Interval-Related Talks at the 22th International Conference of the North American Fuzzy Information Processing Society NAFIPS'03 - Chicago, Illinois, USA, July 24-26, 2003.
Reliable Computing, 2004

Fast Multiplication of Interval Matrices (Interval Version of Strassen's Algorithm).
Reliable Computing, 2004

Computability and Complexity in Analysis (CCA). A View from Interval Computations - Cincinnati, Ohio, USA, August 28-30, 2003.
Reliable Computing, 2004

Interval Arithmetic, Affine Arithmetic, Taylor Series Methods: Why, What Next?
Numerical Algorithms, 2004

Interval Approach to Phase Measurements Can Lead to Arbitrarily Complex Sets - A Theorem and Ways around It.
Numerical Algorithms, 2004

A Feasible Algorithm for Locating Concave and Convex Zones of Interval Data and Its Use in Statistics-Based Clustering.
Numerical Algorithms, 2004

A Full Function-Based Calculus of Directed and Undirected Intervals: Markov'S Interval Arithmetic Revisited.
Numerical Algorithms, 2004

Fast quantum algorithms for handling probabilistic and interval uncertainty.
Math. Log. Q., 2004

Fuzzy statistics, by James J. Buckley.
Journal of Intelligent and Fuzzy Systems, 2004

Computational intelligence: The experts speak, by David B. Fogel and Charles J. Robinson, eds.
Journal of Intelligent and Fuzzy Systems, 2004

Probabilities, Intervals, What Next? Optimization Problems Related to Extension of Interval Computations to Situations with Partial Information about Probabilities.
J. Global Optimization, 2004

Corrigendum: Interval Methods In Knowledge Representation (Abstracts Of Recent Papers).
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2004

Checking identities is computationally intractable NP-hard and therefore human provers will always be needed.
Int. J. Intell. Syst., 2004

Intelligent technologies: An introduction.
Int. J. Intell. Syst., 2004

Corrigendum to "Computational complexity of optimization and crude range testing: a new approach motivated by fuzzy optimization": [Fuzzy Sets and Systems 135 (2003) 179-208].
Fuzzy Sets and Systems, 2004

Greedy algorithms for optimizing multivariate Horner schemes.
ACM SIGSAM Bulletin, 2004

New Algorithms for Statistical Analysis of Interval Data.
Proceedings of the Applied Parallel Computing, 2004

On the Use of Intervals in Scientific Computing: What Is the Best Transition from Linear to Quadratic Approximation?.
Proceedings of the Applied Parallel Computing, 2004

HPC-ICTM: The Interval Categorizer Tessellation-Based Model for High Performance Computing.
Proceedings of the Applied Parallel Computing, 2004

Interval Methods: An Introduction.
Proceedings of the Applied Parallel Computing, 2004

Toward Formalizing Non-monotonic Reasoning in Physics: The use of Kolmogorov Complexity to Formalize the Notions of "Typically" and "Normally".
Proceedings of the Latin-American Workshop on Non-Monotonic Reasoning, 2004

The Multi-layered Interval Categorizer Tesselation-based Model.
Proceedings of the VI Brazilian Symposium on Geoinformatics, 2004

Fuzzy and probabilistic models of association information in sensor networks.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

2003
Interval-Related Talks at the 2003 IEEE International Conference on Fuzzy Systems - St. Louis, Missouri, May 25-28, 2003.
Reliable Computing, 2003

Are There Easy-to-Check Necessary and Sufficient Conditions for Straightforward Interval Computations To Be Exact?
Reliable Computing, 2003

Exact Upper Bound on the Mean of the Product of Many Random Variables with Known Expectations.
Reliable Computing, 2003

On the relation between two approaches to combining evidence: Ordered Abelian Groups and uninorms.
Journal of Intelligent and Fuzzy Systems, 2003

Which truth values in fuzzy logics are definable?
Int. J. Intell. Syst., 2003

Universal approximation theorem for uninorm-based fuzzy systems modeling.
Fuzzy Sets and Systems, 2003

Computational complexity of optimization and crude range testing: a new approach motivated by fuzzy optimization.
Fuzzy Sets and Systems, 2003

Can quantum computers be useful when there are not yet enough qubits?
Bulletin of the EATCS, 2003

Robust Methodology for Characterizing System Response to Damage: Approach Based on Partial Order.
Proceedings of the Large-Scale Scientific Computing, 4th International Conference, 2003

Use of fuzzy expert's information in measurement and what we can gain from its application in geophysics.
Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003

Dirty pages of logarithm tables, lifetime of the universe, and subjective (fuzzy) probabilities on finite and infinite intervals.
Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003

Novel Approaches to Numerical Software with Result Verification.
Proceedings of the Numerical Software with Result Verification, 2003

2002
Computing variance for interval data is NP-hard.
SIGACT News, 2002

Interval-Related Talks at the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'02.
Reliable Computing, 2002

Range Estimation Is NP-Hard for ?2 Accuracy and Feasible for epsilon2-[delta].
Reliable Computing, 2002

In Case of Interval (or More General) Uncertainty, No Algorithm Can Choose the Simplest Representative.
Reliable Computing, 2002

Designing Interdisciplinary Approaches to Problem Solving into Computer Languages.
Transactions of the SDPS, 2002

A new universal approximation result for fuzzy systems, which reflects CNF DNF duality.
Int. J. Intell. Syst., 2002

Triangular norms by Erich Peter Klement, Radko Mesiar, and Endre Pap.
Int. J. Intell. Syst., 2002

Computing the shape of the image of a multi-linear mapping is possible but computationally intractable: Theorems.
Int. J. General Systems, 2002

A realistic (non-associative) logic and a possible explanations of 7 pm 2 law.
Int. J. Approx. Reasoning, 2002

Why is Selecting the Simplest Hypothesis (Consistent with Data) a Good Idea? A Simple Explanation.
Bulletin of the EATCS, 2002

On the Optimal Choice of Quality Metric in Image Compression.
Proceedings of the 5th IEEE Southwest Symposium on Image Analysis and Interpretation, 2002

Automatic Referencing of Multi-Spectral Images.
Proceedings of the 5th IEEE Southwest Symposium on Image Analysis and Interpretation, 2002

2001
Itanium's new basic operation of fused multiply-add: theoretical explanation and theoretical challenge.
SIGACT News, 2001

Interval Methods in Non-Destructive Testing of Material Structures.
Reliable Computing, 2001

Interval Methods and Their Applications: Invited Sessions at the World Automation Congress (WAC'2000) Maui, Hawaii, June 10-16, 2000.
Reliable Computing, 2001

Session "Interval and Computer-Algebraic Methods in Science and Engineering" at the 6th International Association for Mathematics and Computers in Simulation (IMACS) Conference on Applications of Computer Algebra (ACA'2000) Saint Petersburg, Russia, ....
Reliable Computing, 2001

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.
Reliable Computing, 2001

Roundoff-Free Number Fields for Interval Computations.
Reliable Computing, 2001

A Comment on the Shape of the Solution Set for Systems of Interval Linear Equations with Dependent Coefficients.
Reliable Computing, 2001

Chu Spaces: Towards New Foundations for Fuzzy Logic and Fuzzy Control, with Applications to Information Flow on the World Wide Web.
JACIII, 2001

A new graph characteristic and its application to numerical computability.
Inf. Process. Lett., 2001

From Planning to Searching for the Shortest Plan: An Optimal Transition.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2001

Statistical and Dempster-Shafer Techniques in Testing Structural Integrity of Aerospace Structures.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2001

Aerospace Applications of Intervals: From Geospatial Data Processing to Fault Detection in Aerospace Structures.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2001

Intelligent Technologies - Preface.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2001

Interval Methods in Knowledge Representation (abstracts of recent papers).
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2001

Fuzzy logic and its applications in medicine.
I. J. Medical Informatics, 2001

Allowing two moves in succession increases the game's bias: A theorem.
Int. J. Intell. Syst., 2001

On representation and approximation of operations in Boolean algebras.
Int. J. Intell. Syst., 2001

Strassen's Algorithm Made (Somewhat) More Natural: A Pedagogical Remark.
Bulletin of the EATCS, 2001

Towards automatic detection of erroneous measurement results in a gravity database.
Proceedings of the IEEE International Conference on Systems, 2001

2-d analogues of Allen Interval Algebra for image analysis: towards justification.
Proceedings of the IEEE International Conference on Systems, 2001

Automatic referencing of satellite and radar images.
Proceedings of the IEEE International Conference on Systems, 2001

Towards more realistic (e.g., non-associative) AND- and OR-operations in fuzzy logic.
Proceedings of the IEEE International Conference on Systems, 2001

Computational Complexity of Planning with Temporal Goals.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

Logic-motivated Choice of Fuzzy Logic Operators.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

A New Derivation of Centoid Defuzzification.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

Hyperbolic Approach to Fuzzy Control Is Optimal.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

"Discrete (Set) Derivatives &" "Algebraic" " Fuzzy Logic Operations".
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

Theoretical foundation for iterative assessment of conditional confidence measures in the framework of conditional measure theoretic-approach.
Proceedings of the 2nd International Conference in Fuzzy Logic and Technology, 2001

Reduction to independent variables: from normal distribution to general statistical case to fuzzy.
Proceedings of the 2nd International Conference in Fuzzy Logic and Technology, 2001

Towards fusing sophisticated mathematical knowledge and informal expert knowledge: an arbitrary metric can be naturally interpreted in fuzzy terms.
Proceedings of the 2nd International Conference in Fuzzy Logic and Technology, 2001

Second-order uncertainty as a bridge between probabilistic and fuzzy approaches.
Proceedings of the 2nd International Conference in Fuzzy Logic and Technology, 2001

The Prospect for Answer Sets Computation by a Genetic Model.
Proceedings of the Answer Set Programming, 2001

Modifications of the Oettli-Prager Theorem with Application to the Eigenvalue Problem.
Proceedings of the Symbolic Algebraic Methods and Verification Methods, 2001

2000
Review of A=B5 by Marko Petkovsek, Herbert S. Wilf, and Doron Zeilberger.
SIGACT News, 2000

Fair Division Under Interval Uncertainty.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2000

Why clustering in function approximation? Theoretical explanation.
Int. J. Intell. Syst., 2000

Fuzzy systems are universal approximators for a smooth function and its derivatives.
Int. J. Intell. Syst., 2000

Choosing a Physical Model: Why Symmetries?
Bulletin of the EATCS, 2000

How Important is Theory for Practical Problems? A Partial Explanation of Hartmanis' Observation.
Bulletin of the EATCS, 2000

Computational complexity of planning and approximate planning in the presence of incompleteness.
Artif. Intell., 2000

Extracting fuzzy sparse rules by Cartesian representation and clustering.
Proceedings of the IEEE International Conference on Systems, 2000

Computational Complexity of Planning Based on Partial Information about the System's Present and Past States.
Proceedings of the Computational Logic, 2000

Towards Feasible Approach to Plan Checking under Probabilistic Uncertainty: Interval Methods.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1999
On how to merge sorted lists coming from different web search tools.
Soft Comput., 1999

Encryption algorithms made natural.
SIGCSE Bulletin, 1999

Preface.
Reliable Computing, 1999

Gasarch, W.I. and Martin, G.A.: Bounded Queries in Recursion Theory.
Reliable Computing, 1999

Only Intervals Preserve the Invertibility of Arithmetic Operations.
Reliable Computing, 1999

Error Estimation for Indirect Measurements: Interval Computation Problem Is (Slightly) Harder Than a Similar Probabilistic Computational Problem.
Reliable Computing, 1999

Fuzzy Modus Ponens as a Calculus of Logical Modifiers: Towards Zadeh's Vision of Implication Calculus.
Inf. Sci., 1999

Fuzzy/Probability ~ Fractal/Smooth.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1999

How to divide a territory? A new simple differential formalism for optimization of set functions.
Int. J. Intell. Syst., 1999

Propositional fuzzy logics: Decidable for some (algebraic) operators; undecidable for more complicated ones.
Int. J. Intell. Syst., 1999

Decision making under interval probabilities.
Int. J. Approx. Reasoning, 1999

Automatic Concurrency in SequenceL.
Electr. Notes Theor. Comput. Sci., 1999

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.
Bulletin of the EATCS, 1999

Encryption Algorithms Made (Somewhat) More Natural (a pedagogical remark).
Bulletin of the EATCS, 1999

On Average Bit Complexity of Interval Arithmetic.
Bulletin of the EATCS, 1999

Coincidences Are not Accidental: a Theorem.
Cybernetics and Systems, 1999

Computational Complexity of Planning and Approximate Planning in Presence of Incompleteness.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

1998
Solving Linear Interval Systems Is NP-Hard Even If We Exclude Overflow and Underflow.
Reliable Computing, 1998

Estimating Uncertainties for Geophysical Tomography.
Reliable Computing, 1998

Intervals and the Origins of Calculus.
Reliable Computing, 1998

Algorithms That Still Produce a Solution (Maybe Not Optimal) Even When Interrupted: Shary's Idea Justified.
Reliable Computing, 1998

A Variation on the Zero-One Law.
Inf. Process. Lett., 1998

Ordinal Explanation of the Periodic System of Chemical Elements.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1998

On the possibility of using complex values in fuzzy logic for representing inconsistencies.
Int. J. Intell. Syst., 1998

Fuzzy implication can be arbitrarily complicated: A theorem.
Int. J. Intell. Syst., 1998

From ordered beliefs to numbers: How to elicit numbers without asking for them (doable but computationally difficult).
Int. J. Intell. Syst., 1998

Strict Archimedean t-norms and t-conorms as universal approximators.
Int. J. Approx. Reasoning, 1998

A new class of fuzzy implications. Axioms of fuzzy implication revisited.
Fuzzy Sets and Systems, 1998

Human Visual Perception and Kolmogorov Complexity: Revisited.
Bulletin of the EATCS, 1998

Kolmogorov Complexity Justifies Software Engineering Heuristics.
Bulletin of the EATCS, 1998

From interval computations to modal mathematics: applications and computational complexity.
ACM SIGSAM Bulletin, 1998

A Distributed Version of the SequenceL Language.
Proceedings of the Seventeenth Symposium on Reliable Distributed Systems, 1998

1997
On hardware support for interval computations and for soft computing: theorems.
IEEE Trans. Fuzzy Systems, 1997

Using robust optimization to play against an imperfect opponent.
Soft Comput., 1997

Using Gelfond-Przymusinska's epistemic specifications to justify (some) heuristic methods used in expert systems and intelligent control.
Soft Comput., 1997

Why is a function defined as set of ordered pairs?
SIGCSE Bulletin, 1997

From Numerical Intervals to Set Intervals (Interval-Related Results Presented at the First International Workshop on Applications and Theory of Random Sets).
Reliable Computing, 1997

NP-Hard Classes of Linear Algebraic Systems with Uncertainties.
Reliable Computing, 1997

On a Theoretical Justification of the Choice of Epsilon-Inflation in PASCAL-XSC.
Reliable Computing, 1997

Is Solar System Stable? A Remark.
Reliable Computing, 1997

Estimates of the Number of Hidden Units and Variation with Respect to Half-Spaces.
Neural Networks, 1997

Interval-Valued Degrees of Belief: Applications of Interval Computations to Expert Systems and Intelligent Control.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1997

Guest Editors' Introduction: Interval Methods in Representing and Processing Uncertainty.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1997

Granularity via nondeterministic computations: What we gain and what we lose.
Int. J. Intell. Syst., 1997

Fuzzy numbers are the only fuzzy sets that keep invertible operations invertible.
Fuzzy Sets and Systems, 1997

Introduction: Logic Programming, Non-Monotonic Reasoning and Reasoning about Actions.
Ann. Math. Artif. Intell., 1997

1996
Preface.
Reliable Computing, 1996

If we measure a number, we get an interval. What if we measure a function or an operator?
Reliable Computing, 1996

Optimal interval enclosures for fractionally-linear functions, and their application to intelligent control.
Reliable Computing, 1996

A quadratic-time algorithm for smoothing interval functions.
Reliable Computing, 1996

Interval methods that are guaranteed to underestimate (and the resulting new justification of Kaucher arithmetic).
Reliable Computing, 1996

Best student paper award.
Reliable Computing, 1996

Linear interval equations: Computing enclosures with bounded relative or absolute overestimation is NP-hard.
Reliable Computing, 1996

Double bubble minimizes: Interval computations help in solving a long-standing geometric problem.
Reliable Computing, 1996

Paul Erdös, 1913-1996.
Reliable Computing, 1996

Interval talks at the first el paso shell oil symposium.
Reliable Computing, 1996

SONIC'95: Student mini-symposium on interval computations.
Reliable Computing, 1996

Maximum entropy and interval computations - (September notes on summer impressions).
Reliable Computing, 1996

Fast error estimates for indirect measurements: applications to pavement engineering.
Reliable Computing, 1996

WAI'96: II Workshop on Computer Arithmetic, Interval and Symbolic Computation.
Reliable Computing, 1996

Normal Forms for fuzzy Logic - an Application of Kolmogorov's Theorem.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1996

Is the success of fuzzy logic really paradoxical?: Toward the actual logic behind expert systems.
Int. J. Intell. Syst., 1996

On the formulation of optimization under elastic constraints (with control in mind).
Fuzzy Sets and Systems, 1996

Fuzzy control as a universal control tool.
Fuzzy Sets and Systems, 1996

Towards a More Realistic Definition of Feasibility.
Bulletin of the EATCS, 1996

Zeros of Riemann's Zeta Function are Uniformly Distributed, but not Random: An Answer to Calude's Open Problem.
Bulletin of the EATCS, 1996

1995
Computing Exact Componentwise Bounds on Solutions of Lineary Systems with Interval Data is NP-Hard.
SIAM J. Matrix Analysis Applications, 1995

A bright side of NP-hardness of interval computations: interval heuristics applied to NP-problems.
Reliable Computing, 1995

A new characterization of the set of all intervals, based on the necessity to check consistency easily.
Reliable Computing, 1995

Applications of interval computations to earthquake-resistant engineering: How to compute derivatives of interval functions fast.
Reliable Computing, 1995

Towards the future of interval computations - Editors' Introduction to the student issue.
Reliable Computing, 1995

Why intervals? A simple limit theorem that is similar to limit theorems from statistics.
Reliable Computing, 1995

Interval sessions at NAFIPS/IFIS/NASA'94.
Reliable Computing, 1995

Ockham's razor in interval identification.
Reliable Computing, 1995

Interpolation that leads to the narrowest intervals and its application to expert systems and intelligent control.
Reliable Computing, 1995

Towards Theoretical Foundations of Soft Computing Applications.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1995

Strongly transitive fuzzy relations: An alternative way to describe similarity.
Int. J. Intell. Syst., 1995

How to improve mamdani's approach to fuzzy control.
Int. J. Intell. Syst., 1995

1994
Error estimation for indirect measurements is exponentially hard.
Neural Parallel & Scientific Comp., 1994

Uniqueness of network parametrization and faster learning.
Neural Parallel & Scientific Comp., 1994

An Application of Logic to Combinatorial Geometry: How Many Tetrahedra are Equidecomposable with a Cube?
Math. Log. Q., 1994

Maximum Entropy Approach to Fuzzy Control.
Inf. Sci., 1994

A Measure of Average sensitivity for fuzzy Logics.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1994

Bag languages, concurrency, Horn logic programs, and linear logic.
Proceedings of the SEKE'94, 1994

1993
3-layer neural networks are universal approximations for functions and for control strategies.
Neural Parallel & Scientific Comp., 1993

Letters to the editor.
Neural Networks, 1993

Fast rotation of a 3D image about an arbitrary line.
Computers & Graphics, 1993

1992
Fuzzy Control is Often Better Than Manual Control of the Very Experts Whose Knowledge it Uses: An Explanation.
Proceedings of the Fourth International Conference on Tools with Artificial Intelligence, 1992

1991
Arbitrary nonlinearity is sufficient to represent all functions by neural networks: A theorem.
Neural Networks, 1991

Book Review: "fundamentals of Computing for Software Engineers", by Eric S. Chan and Murat M. Tanik.
International Journal of Software Engineering and Knowledge Engineering, 1991

1988
Group-theoretic approach to intractable problems.
Proceedings of the COLOG-88, 1988


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