Vladik Kreinovich
According to our database^{1},
Vladik Kreinovich
authored at least 529 papers
between 1988 and 2019.
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at zbmath.org

at orcid.org

at id.loc.gov

at dnb.info

at andrej.com
On csauthors.net:
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 KnowledgeBased Systems, 2019
Why Use a Fuzzy Partition in FTransform?
Axioms, 2019
Why Triangular Membership Functions Are Successfully Used in FTransform 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 MultiAgent Systems, 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
Derivation of LouisvilleBratuGelfand Equation from Shift or ScaleInvariance.
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 Multimodal: An UncertaintyBased 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 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
Decision Making Under Interval Uncertainty: Beyond Hurwicz PessimismOptimism Criterion.
Proceedings of the Beyond Traditional Probabilistic Methods in Economics, 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
Why Threshold Models: A Theoretical Explanation.
Proceedings of the Beyond Traditional Probabilistic Methods in Economics, 2019
Why HammersteinType 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 SystemBased 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: 9783319910253, 2018
Interval Methods in Knowledge Representation.
International Journal of Uncertainty, Fuzziness and KnowledgeBased Systems, 2018
Qualitative conditioning in an intervalbased 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
MeasurementType "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 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
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 ParameterEstimating Algorithms for SymmetryMotivated 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 PlausibilityBased 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 frequencyinverse document frequency (tfidf) 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 (EqualityType) Solutions of Interval Equations and for ExtendedZero 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 IntervalValued 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
NormalizationInvariant 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
Scalinginvariant 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 intervalvalued or setvalued 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 SymmetryBased Explanation.
Proceedings of the Causal Inference in Econometrics, 2016
Invariance Explains Multiplicative and Exponential Skedactic Functions.
Proceedings of the Causal Inference in Econometrics, 2016
AcrosstheBoard 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 Ftransform 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 SoftComputing Foundations and Applications, 2016
How to Describe Measurement Uncertainty and Uncertainty of Expert Estimates?
Proceedings of the Recent Developments and the New Direction in SoftComputing 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 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
Why Sparse? Fuzzy Techniques Explain Empirical Efficiency of SparsityBased Data and ImageProcessing Algorithms.
Proceedings of the Recent Developments and the New Direction in SoftComputing 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
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
Rotationinvariance can further improve stateoftheart 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 ℓpmethods in signal and image processing: A fuzzybased 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 Multiintervalvalued 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 tnorm 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 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
Adjoint Fuzzy Partition and Generalized Sampling Theorem.
Proceedings of the Information Processing and Management of Uncertainty in KnowledgeBased 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 ℓpregularization of signals and images.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
SetValued Conditioning in a Possibility Theory Setting.
Proceedings of the ECAI 2016  22nd European Conference on Artificial Intelligence, 29 August2 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 Latticevalued 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 KnowledgeBased Systems, 2015
50 Years of Fuzzy Sets: Preface.
International Journal of Uncertainty, Fuzziness and KnowledgeBased 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 NPHard.
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 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
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, 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
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 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
CompatibleBased Conditioning in IntervalBased Possibilistic Logic.
Proceedings of the TwentyFourth 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 λmeasures.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
Which biodiversity indices are most adequate.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
On the Normalization of IntervalBased Possibility Distributions.
Proceedings of the TwentyEighth 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 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
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 (IFSAEUSFLAT15), 2015
2014
Towards an Efficient Bisection of Ellipsoids.
Proceedings of the Constraint Programming and Decision Making, 2014
ConstraintRelated Reinterpretation of Fundamental Physical Equations Can Serve as a BuiltIn Regularization.
Proceedings of the Constraint Programming and Decision Making, 2014
Under PhysicsMotivated Constraints, GenerallyNonAlgorithmic Computational Problems become Algorithmically Solvable.
Proceedings of the Constraint Programming and Decision Making, 2014
Decision Making Under Interval Uncertainty (and Beyond).
Proceedings of the HumanCentric DecisionMaking 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 Multiobjective Constraint Optimization.
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
Continuous IfThen 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 LCurve: 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 Ftransform.
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 ComputerEnhanced 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 SoftComputing Foundations and Applications, 2014
A Vine Copula Approach for Analyzing Financial Risk and Comovement 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 MultiVariate 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
rbounded fuzzy measures are equivalent to εpossibility 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 pBox? A Kaucher Interval? Towards an EconomicsMotivated 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, setvalued, fuzzy, and Znumber uncertainty: A fair price approach.
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
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 NPHard Even for Cubic Polynomials.
Reliable Computing, 2013
Is it Possible to Have a Feasible EnclosureComputing 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
DensityBased 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 HeavyTailed 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 PrivacyProtected 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 SymmetryBased 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 TupleBased Formalization.
Proceedings of the IEEE International Conference on Systems, 2013
Likertscale 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 spacetime causality: Kolmogorov complexity and causality as a matter of degree.
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
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 FUZZIEEE 2013, 2013
Relation between polling and Likertscale approaches to eliciting membership degrees clarified by quantum computing.
Proceedings of the FUZZIEEE 2013, 2013
Why inverse Ftransform? A compressionbased explanation.
Proceedings of the FUZZIEEE 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 pboxes to pellipsoids: 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 MultiAgent Systems, 2013
Ftransform 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 SymmetryBased Explanation of (Approximate) Shapes of AlphaHelices and BetaSheets (and BetaBarrels) in Protein Structure.
Symmetry, 2012
Reconstructing an Open Order from Its Closure, with Applications to SpaceTime 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 tnorm combination of probabilistic and possibilistic knowledge.
Int. J. Intell. Syst., 2012
Towards interval techniques for model validation.
Computing, 2012
Efficient algorithms for heavytail analysis under interval uncertainty.
Annals OR, 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
Semiheuristic poverty measures used by economists: Justification motivated by fuzzy techniques.
Proceedings of the FUZZIEEE 2012, 2012
Why bernstein polynomials are better: Fuzzyinspired justification.
Proceedings of the FUZZIEEE 2012, 2012
Towards Formalizing Nonmonotonic 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 LargeScale Prediction Problems: A Theoretical Explanation.
Adv. Fuzzy Systems, 2011
From processing intervalvalued fuzzy data to general type2: Towards fast algorithms.
Proceedings of the 2011 IEEE Symposium on Advances in Type2 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, PBox, and Fuzzy Uncertainty: From Interval Computations to Rough SetRelated 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
NoFreeLunch 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 RodSpring approximation: An intuitive approach to the bestfit leastsquares 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
LinearTime 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 DecisionRelated Set Computations.
J. UCS, 2010
Fast convolution and Fast Fourier Transform under interval and fuzzy uncertainty.
J. Comput. Syst. Sci., 2010
How AIType Uncertainty Ideas Can Improve InterDisciplinary 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: Type2 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 nonassociativity theorem.
Proceedings of the FUZZIEEE 2010, 2010
Towards a more natural proof of metrization theorem for spacetimes.
Proceedings of the FUZZIEEE 2010, 2010
Multiobjective optimization under positivity constraints, with a meteorological example.
Proceedings of the FUZZIEEE 2010, 2010
Metrization Theorem for SpaceTimes: From Urysohn's Problem towards Physically Useful Constructive Mathematics.
Proceedings of the Fields of Logic and Computation, 2010
2009
Fuzzy without Fuzzy: Why FuzzyRelated 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 distributionfree 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
Tradeoff 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 NonMonotonic 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 OptimismPessimism 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 ConstraintRelated Set Computations: Towards Faster Estimation of Statistics and ODEs under Interval and pBox 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
TradeOff between Sample Size and Accuracy: Case of Dynamic Measurements under Interval Uncertainty.
Proceedings of the Interval / Probabilistic Uncertainty and NonClassical Logics, 2008
TradeOff between Sample Size and Accuracy: Case of Static Measurements under Interval Uncertainty.
Proceedings of the Interval / Probabilistic Uncertainty and NonClassical 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 NonClassical Logics, 2008
Fast Algorithms for Computing Statistics under Interval Uncertainty: An Overview.
Proceedings of the Interval / Probabilistic Uncertainty and NonClassical Logics, 2008
Fuzzy Prediction Models in Measurement.
IEEE Trans. Fuzzy Systems, 2008
Static spacetimes naturally lead to quasipseudometrics.
Theor. Comput. Sci., 2008
Computational complexity of determining which statements about causality hold in different spacetime 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
Applicationmotivated 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 FUZZIEEE 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: LinearTime Algorithms.
Reliable Computing, 2007
IntervalRelated Talks at the Second International Conference on Fuzzy Sets and Soft Computing in Economics and Finance.
Reliable Computing, 2007
IntervalRelated 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 KnowledgeBased Systems IPMU'2006.
Reliable Computing, 2007
MonteCarloType Techniques for Processing Interval Uncertainty, and Their Potential Engineering Applications.
Reliable Computing, 2007
IntervalRelated Talks at the North American Fuzzy Information Processing Society Annual Conference NAFIPS'07.
Reliable Computing, 2007
IntervalRelated Talks at the 2007 IEEE Symposium Series on Computational Intelligence.
Reliable Computing, 2007
Unimodality, Independence Lead to NPHardness 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
Online algorithms for computing mean and variance of interval data, and their use in intelligent systems.
Inf. Sci., 2007
Ellipsoids and ellipsoidshaped fuzzy sets as natural multivariate 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 PatternBased 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 ConstraintRelated Set Computations: Towards Faster Estimation of Statistics and ODEs Under Interval, pBox, and Fuzzy Uncertainty.
Proceedings of the Foundations of Fuzzy Logic and Soft Computing, 2007
Verification of Automatically Generated PatternBased 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 NPhard.
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 MultiPrecision Arithmetic: A Remark.
Reliable Computing, 2006
Towards Real World Applications: IntervalRelated Talks at NAFIPS'05.
Reliable Computing, 2006
Population Variance under Interval Uncertainty: A New Algorithm.
Reliable Computing, 2006
IntervalRelated Talks at the International Conference on Fuzzy Systems, Neural Networks, and Genetic Algorithms FNG'05.
Reliable Computing, 2006
Dealing with Imprecise Probabilities: IntervalRelated Talks at ISIPTA'05.
Reliable Computing, 2006
Expert SystemType Approach to Voice Disorders: Scheduling Botulinum Toxin Treatment for Adductor Spasmodic Dysphonia.
JACIII, 2006
Testing Hypotheses on Simulated Data: Why Traditional HypothesesTesting 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 halforders of magnitude?
Int. J. Intell. Syst., 2006
Computing mean and variance under DempsterShafer uncertainty: Towards faster algorithms.
Int. J. Approx. Reasoning, 2006
Computing bestpossible bounds for the distribution of a sum of several variables is NPhard.
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 kCSP algorithms: a first step towards quantum algorithms for intervalrelated 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 (sigmamaxitive measures).
SIGACT News, 2005
On quantum versions of recordbreaking 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 LogicBased 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
RealTime Optimization by ExtremumSeeking 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 NeumannMorgenstern 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 NPHard.
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., nonassociative) "and" and "or"operations in fuzzy logic.
Soft Comput., 2004
A new Cauchybased blackbox 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
IntervalRelated Talks at InTech'03  Chiang Mai, Thailand, December 1719, 2003.
Reliable Computing, 2004
Special Session "SetValued Numerics and Reliable Computing"  Sozopol, Bulgaria, June 48, 2003.
Reliable Computing, 2004
IntervalRelated Talks at the 22th International Conference of the North American Fuzzy Information Processing Society NAFIPS'03  Chicago, Illinois, USA, July 2426, 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 2830, 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 StatisticsBased Clustering.
Numerical Algorithms, 2004
A Full FunctionBased 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 KnowledgeBased Systems, 2004
Checking identities is computationally intractable NPhard 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) 179208].
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
HPCICTM: The Interval Categorizer TessellationBased 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 Nonmonotonic Reasoning in Physics: The use of Kolmogorov Complexity to Formalize the Notions of "Typically" and "Normally".
Proceedings of the LatinAmerican Workshop on NonMonotonic Reasoning, 2004
The Multilayered Interval Categorizer Tesselationbased 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
IntervalRelated Talks at the 2003 IEEE International Conference on Fuzzy Systems  St. Louis, Missouri, May 2528, 2003.
Reliable Computing, 2003
Are There EasytoCheck 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 uninormbased 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 LargeScale 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 NPhard.
SIGACT News, 2002
IntervalRelated Talks at the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'02.
Reliable Computing, 2002
Range Estimation Is NPHard for ?2 Accuracy and Feasible for _{epsilon}2[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 multilinear mapping is possible but computationally intractable: Theorems.
Int. J. General Systems, 2002
A realistic (nonassociative) 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 MultiSpectral Images.
Proceedings of the 5th IEEE Southwest Symposium on Image Analysis and Interpretation, 2002
2001
Itanium's new basic operation of fused multiplyadd: theoretical explanation and theoretical challenge.
SIGACT News, 2001
Interval Methods in NonDestructive Testing of Material Structures.
Reliable Computing, 2001
Interval Methods and Their Applications: Invited Sessions at the World Automation Congress (WAC'2000) Maui, Hawaii, June 1016, 2000.
Reliable Computing, 2001
Session "Interval and ComputerAlgebraic 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 1315, 2000.
Reliable Computing, 2001
RoundoffFree 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 KnowledgeBased Systems, 2001
Statistical and DempsterShafer Techniques in Testing Structural Integrity of Aerospace Structures.
International Journal of Uncertainty, Fuzziness and KnowledgeBased Systems, 2001
Aerospace Applications of Intervals: From Geospatial Data Processing to Fault Detection in Aerospace Structures.
International Journal of Uncertainty, Fuzziness and KnowledgeBased Systems, 2001
Intelligent Technologies  Preface.
International Journal of Uncertainty, Fuzziness and KnowledgeBased Systems, 2001
Interval Methods in Knowledge Representation (abstracts of recent papers).
International Journal of Uncertainty, Fuzziness and KnowledgeBased 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
2d 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., nonassociative) AND and ORoperations 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
Logicmotivated 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 theoreticapproach.
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
Secondorder 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 OettliPrager Theorem with Application to the Eigenvalue Problem.
Proceedings of the Symbolic Algebraic Methods and Verification Methods, 2001
2000
Review of A=B^{5} by Marko Petkovsek, Herbert S. Wilf, and Doron Zeilberger.
SIGACT News, 2000
Fair Division Under Interval Uncertainty.
International Journal of Uncertainty, Fuzziness and KnowledgeBased 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 KnowledgeBased 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 NPHard 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 ZeroOne Law.
Inf. Process. Lett., 1998
Ordinal Explanation of the Periodic System of Chemical Elements.
International Journal of Uncertainty, Fuzziness and KnowledgeBased 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 tnorms and tconorms 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 GelfondPrzymusinska'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 (IntervalRelated Results Presented at the First International Workshop on Applications and Theory of Random Sets).
Reliable Computing, 1997
NPHard Classes of Linear Algebraic Systems with Uncertainties.
Reliable Computing, 1997
On a Theoretical Justification of the Choice of EpsilonInflation in PASCALXSC.
Reliable Computing, 1997
Is Solar System Stable? A Remark.
Reliable Computing, 1997
Estimates of the Number of Hidden Units and Variation with Respect to HalfSpaces.
Neural Networks, 1997
IntervalValued Degrees of Belief: Applications of Interval Computations to Expert Systems and Intelligent Control.
International Journal of Uncertainty, Fuzziness and KnowledgeBased Systems, 1997
Guest Editors' Introduction: Interval Methods in Representing and Processing Uncertainty.
International Journal of Uncertainty, Fuzziness and KnowledgeBased 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, NonMonotonic 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 fractionallylinear functions, and their application to intelligent control.
Reliable Computing, 1996
A quadratictime 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 NPhard.
Reliable Computing, 1996
Double bubble minimizes: Interval computations help in solving a longstanding geometric problem.
Reliable Computing, 1996
Paul Erdös, 19131996.
Reliable Computing, 1996
Interval talks at the first el paso shell oil symposium.
Reliable Computing, 1996
SONIC'95: Student minisymposium 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 KnowledgeBased 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 NPHard.
SIAM J. Matrix Analysis Applications, 1995
A bright side of NPhardness of interval computations: interval heuristics applied to NPproblems.
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 earthquakeresistant 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 KnowledgeBased 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 KnowledgeBased Systems, 1994
Bag languages, concurrency, Horn logic programs, and linear logic.
Proceedings of the SEKE'94, 1994
1993
3layer 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
Grouptheoretic approach to intractable problems.
Proceedings of the COLOG88, 1988