Vladik Kreinovich
Affiliations: University of Texas at El Paso, Department of Computer Science, TX, USA
According to our database^{1},
Vladik Kreinovich
authored at least 791 papers
between 1988 and 2023.
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on zbmath.org

on cs.utep.edu

on orcid.org

on id.loc.gov

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Bibliography
2023
Int. J. Uncertain. Fuzziness Knowl. Based Syst., April, 2023
Studies in Computational Intelligence 1041, Springer, ISBN: 9783031205682, 2023
Why Linear (and Piecewise Linear) Models Often Successfully Describe Complex NonLinear Economic and Financial Phenomena: A~FuzzyBased Explanation.
TFSS, 2023
Uninormlike parametric activation functions for humanunderstandable neural models.
Knowl. Based Syst., 2023
Which Activation Function Works Best for Training Artificial Pancreas: Empirical Fact and Its Theoretical Explanation.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
People Prefer More Information About Uncertainty, but Perform Worse When Given This Information: An Explanation of the Paradoxical Phenomenon.
Proceedings of the Fuzzy Information Processing 2023, 2023
HighImpact LowProbability Events are Even More Important Than it is Usually Assumed.
Proceedings of the Fuzzy Information Processing 2023, 2023
What Do Goedel's Theorem and Arrow's Theorem have in Common: A Possible Answer to Arrow's Question.
Proceedings of the Fuzzy Information Processing 2023, 2023
Everything is a Matter of Degree: The Main Idea Behind Fuzzy Logic is Useful in Geosciences and in Authorship.
Proceedings of the Fuzzy Information Processing 2023, 2023
Proceedings of the Fuzzy Information Processing 2023, 2023
Computing at Least One of Two Roots of a Polynomial is, in General, Not Algorithmic.
Proceedings of the Fuzzy Information Processing 2023, 2023
Proceedings of the Fuzzy Information Processing 2023, 2023
Proceedings of the Fuzzy Information Processing 2023, 2023
Conflict Situations are Inevitable When There are Many Participants: A Proof Based on the Analysis of AumannShapley Value.
Proceedings of the Fuzzy Information Processing 2023, 2023
Proceedings of the Fuzzy Information Processing 2023, 2023
Faster Algorithms for Estimating the Mean of a Quadratic Expression Under Uncertainty.
Proceedings of the Fuzzy Information Processing 2023, 2023
Integrity First, Service Before Self, and Excellence: Core Values of US Air Force Naturally Follow from Decision Theory.
Proceedings of the Fuzzy Information Processing 2023, 2023
Equivalence Between 1D TakagiSugeno Fuzzy Systems with Triangular Membership Functions and Neural Networks with ReLU Activation.
Proceedings of the Fuzzy Information Processing 2023, 2023
How People Make Decisions Based on Prior Experience: Formulas of InstanceBased Learning Theory (IBLT) Follow from Scale Invariance.
Proceedings of the Fuzzy Information Processing 2023, 2023
Why Inverse Layers in Pavement? Why Zipper Fracking? Why Interleaving in Education? a General Explanation.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2023
Fast  Asymptotically Optimal  Methods for Determining the Optimal Number of Features.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2023
Proceedings of the 4th International Workshop on Intelligent Information Technologies & Systems of Information Security, 2023
Proceedings of the 12th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2023
IntervalValued and SetValued Extensions of Discrete Fuzzy Logics, Belnap Logic, and Color Optical Computing.
Proceedings of the Fuzzy Logic and Technology, and Aggregation Operators, 2023
Proceedings of the Fuzzy Logic and Technology, and Aggregation Operators, 2023
Unreachable Statements Are Inevitable in Software Testing: Theoretical Explanation.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Unexpected Economic Consequence of Cloud Computing: A Boost to Algorithmic Creativity.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Systems Approach Explains Why Low Heart Rate Variability is Correlated with Depression (and Suicidal Thoughts).
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Extension to Multidimensional Problems of a FuzzyBased Explainable and NoiseResilient Algorithm.
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
How to Estimate the Present Serviceability Rating of a Road Segment: Explanation of an Empirical Formula.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Why Homogeneous Membranes Lead to Optimal Water Desalination: A Possible Explanation.
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Fuzzy Techniques, Laplace Indeterminacy Principle, and Maximum Entropy Approach Explain Lindy Effect and Help Avoid Meaningless Infinities in Physics.
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
How to Detect (and Analyze) Independent Subsystems of a BlackBox (or GreyBox) System.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Why Five Stages of Solar Activity, Why Five Stages of Grief, Why Seven Plus Minus Two: A General Geometric Explanation.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Freedom of Will, Nonuniqueness of Cauchy Problem, Fractal Processes, Renormalization, Phase Transitions, and Stealth Aircraft.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
In the Absence of Information, the only Reasonable Negotiation Scheme Is Offering a Certain Percentage of the Original Request: A Proof.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
How Can the Opposite to a True Theory Be Also True? A Similar Talmudic Discussion Helps Make This Famous Bohr's Statement Logically Consistent.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Why Some Theoretically Possible Representations of Natural Numbers Were Historically Used and Some Were Not: An AlgorithmBased Explanation.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Physical Meaning Often Leads to Natural Derivations in Elementary Mathematics: On the Examples of Solving Quadratic and Cubic Equations.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Why 70/100 Is Satisfactory? Why Five Letter Grades? Why Other Academic Conventions?
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
OverMeasurement Paradox: Suspension of Thermonuclear Research Center and Need to Update Standards.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Why Do People Become Addicted: Towards a Theoretical Explanation for Eyal's ExperimentBased Hook Model.
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Need for Optimal Distributed Measurement of Cumulative Quantities Explains the Ubiquity of Absolute and Relative Error Components.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Monotonic BitInvariant PermutationInvariant Metrics on the Set of All Infinite Binary Sequences.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Why Moments (and Generalized Moments) Are Used in Statistics and Why Expected Utility Is Used in Decision Making: A Possible Explanation.
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Which IntervalValued Alternatives Are Possibly Optimal if We Use Hurwicz Criterion.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
How to Gauge the Quality of a Multiclass Classification When Ground Truth Is Known with Uncertainty.
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Dielectric Barrier Discharge (DBD) ThrustersAerospace Engines of the Future: InvarianceBased Analysis.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Baudelaire's Ideas of Vagueness and Uniqueness in Art: AlgorithmBased Explanations.
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
What Is a Natural Probability Distribution on the Class of All Continuous Functions: Maximum Entropy Approach Leads to Wiener Measure.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
How to Deal with Conflict of Interest Situations When Selecting the Best Submission.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
How to Make Quantum Ideas Less CounterIntuitive: A Simple Analysis of Measurement Uncertainty Can Help.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Why Should Exactly 1/4 Be Returned to the Original Owner: An Economic Explanation of an Ancient Recommendation.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
How Probable is a Revolution? A Natural ReLULike Formula That Fits the Historical Data.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
How to Teach Advanced Highly Motivated Students: Teaching Strategy of Iosif Yakovlevich Verebeichik.
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Decision Making Under Uncertainty: Cases When We Only Know an Upper Bound or a Lower Bound.
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Computing the Range of a FunctionofFewLinearCombinations Under Linear Constraints: A Feasible Algorithm.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Resource Allocation for Multitasking Optimization: Explanation of an Empirical Formula.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
How to Detect the Fundamental Frequency: Approach Motivated by Soft Computing and Computational Complexity.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Why Optimization Is Faster Than Solving Systems of Equations: A Qualitative Explanation.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Why, in Deep Learning, Nonsmooth Activation Function Works Better Than Smooth Ones.
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Why Convex Combination is an Effective Crossover Operation in Continuous Optimization: A Theoretical Explanation.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
How to Describe Relative Approximation Error? A New Justification for Gustafson's Logarithmic Expression.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Search Under Uncertainty Should be Randomized: A Lesson from the 2021 Nobel Prize in Medicine.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Why Rectified Power (RePU) Activation Functions are Efficient in Deep Learning: A Theoretical Explanation.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Why Time Seems to Pass Slowly for Unpleasant Experiences and Quickly for Pleasant Experiences: An Explanation Based on Decision Theory.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Why Constraint Interval Arithmetic Techniques Work Well: A Theorem Explains Empirical Success.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Why Decimal System? Why Communities with More Than 150 Folks Tend to Split? New Consequences of the Seven Plus Minus Two Law.
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Why Too Much Interaction Between Different Parts of the Brain Leads To Unhappiness.
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Hunting Habits of Predatory Birds: Theoretical Explanation of an Empirical Formula.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints  A WhyBook, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
2022
Studies in Computational Intelligence 1047, Springer, ISBN: 9783031099731, 2022
Min and Max are the Only Continuous $\&$ and $\vee$Operations for Finite Logics.
TFSS, 2022
When is deep learning better and when is shallow learning better: qualitative analysis.
Int. J. Parallel Emergent Distributed Syst., 2022
How to Take All Available Information into Account in Fuzzy Decision Making: Beyond Traditional "And"  and "Or"  Operations.
J. Multiple Valued Log. Soft Comput., 2022
J. Optim. Theory Appl., 2022
J. Intell. Fuzzy Syst., 2022
J. Intell. Fuzzy Syst., 2022
J. Intell. Fuzzy Syst., 2022
Ordered Weighted Averaging (OWA), Decision Making under Uncertainty, and Deep Learning: How Is This All Related?
Inf., 2022
Int. J. Approx. Reason., 2022
CoRR, 2022
Adv. Artif. Intell. Mach. Learn., 2022
InvarianceBased Approach Explains Empirical Formulas from Pavement Engineering to Deep Learning.
Adv. Artif. Intell. Mach. Learn., 2022
Proceedings of the Parallel Processing and Applied Mathematics, 2022
Initialization and Plasticity of CEFYDRA: Clusterfirst Explainable FuzzYbased Deep selfReorganizing Algorithm.
Proceedings of the Applications of Fuzzy Techniques, 2022
Multiple Hidden Layered CEFYDRA: ClusterFirst Explainable FuzzyBased Deep Selfreorganizing Algorithm.
Proceedings of the Applications of Fuzzy Techniques, 2022
Single Hidden Layer CEFYDRA: Clusterfirst Explainable FuzzYbased Deep selfReorganizing Algorithm.
Proceedings of the Applications of Fuzzy Techniques, 2022
Why Ideas First Appear in Informal Form? Why It Is Very Difficult to Know Yourself? FuzzyBased Explanation.
Proceedings of the Applications of Fuzzy Techniques, 2022
Proceedings of the Applications of Fuzzy Techniques, 2022
CommonsenseContinuous Dynamical Systems  Stationary States, Prediction, and Reconstruction of the Past: FuzzyBased Analysis.
Proceedings of the Applications of Fuzzy Techniques, 2022
Proceedings of the Applications of Fuzzy Techniques, 2022
Proceedings of the Applications of Fuzzy Techniques, 2022
Decision Support System for the Safety of Ship Navigation Based on Optical Color Logic Gates.
Proceedings of the Selected Papers of the IX International Scientific Conference "Information Technology and Implementation" (IT&I2022). Conference Proceedings Kyiv, Ukraine, November 30, 2022
Seemingly CounterIntuitive Features of GoodtoGreat Companies Actually Make Perfect Sense: Possible AlgorithmicsBased Explanations.
Proceedings of the IEEE 11th International Conference on Intelligent Systems, 2022
Proceedings of the IEEE 11th International Conference on Intelligent Systems, 2022
How to Describe Variety of a Probability Distribution: A Possible Answer to Yager's Question.
Proceedings of the IEEE 11th International Conference on Intelligent Systems, 2022
Proceedings of the IEEE 11th International Conference on Intelligent Systems, 2022
Why Exponential Almon Lag Works Well in Econometrics: An InvarianceBased Explanation.
Proceedings of the IEEE 11th International Conference on Intelligent Systems, 2022
Why SmallerSize Objects Affect the Flow Much More than Larger Ones: A Geometric Explanation with Applications Ranging from Volcanoes and Tornadoes to Blood, Fish, and Buildings Preservation.
Proceedings of the IEEE 11th International Conference on Intelligent Systems, 2022
Proceedings of the IEEE 11th International Conference on Intelligent Systems, 2022
Proceedings of the Information Processing and Management of Uncertainty in KnowledgeBased Systems, 2022
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022
115, Springer, ISBN: 9783031167799, 2022
2021
ZNumbers: How They Describe Student Confidence and How They Can Explain (and Improve) Laplacian and Schroedinger Eigenmap Dimension Reduction in Data Analysis.
Proceedings of the Fuzzy Approaches for Soft Computing and Approximate Reasoning: Theories and Applications, 2021
Soft Comput., 2021
Amanda Jansen, <i>Rough Draft Math: Revising to Learn</i>, Stenhouse Publishers, Portsmouth, New Hampshire, 2020.
J. Intell. Fuzzy Syst., 2021
Jose Maria Alonso Moral, Ciro Castiello, Luis Magdalena, and Corrado Mencar, <i>Explainable Fuzzy Systems: Paving the Way from Interpretable Fuzzy Systems to Explainable AI Systems</i>, Springer, Cha...
J. Intell. Fuzzy Syst., 2021
Chiara Marletto, <i>The Science of Can and Can't: A Physicist's Journey Through the Land of Counterfactuals</i>, Viking, New York, 2021.
J. Intell. Fuzzy Syst., 2021
Concha Bielza and Pedro Larrañaga, <i>DataDriven Computational Neuroscience: Machine Learning and Statistical Models</i>, Cambridge University Press, Cambridge, UK, 2021.
J. Intell. Fuzzy Syst., 2021
Olga Kosheleva and Karen Villaverde <i>How Interval and Fuzzy Techniques Can Improve Teaching</i> Springer, Cham, Switzerland, 2018.
J. Intell. Fuzzy Syst., 2021
Fabio Cuzzolin, <i>The Geometry of Uncertainty: </i><i>The Geometry of Imprecise Probabilities</i> Springer, Cham, Switzerland, 2021.
J. Intell. Fuzzy Syst., 2021
Boris Kovalerchuk, <i>Visual Knowledge Discovery and Machine Learning</i> Springer, Cham, Switzerland, 2018.
J. Intell. Fuzzy Syst., 2021
Jozo Dujmović, <i>Soft Computing Evaluation Logic: The LSP Decision Method</i>, <i>and Its Applications</i>, IEEE Press and Wiley, Hoboken, New Jersey, 2018.
J. Intell. Fuzzy Syst., 2021
Witold Pedrycz <i>An Introduction to Computing with Fuzzy Sets: Analysis, Design, and Applications Springer, Cham, Switzerland, 2021</i>.
J. Intell. Fuzzy Syst., 2021
Djuro G. Zrilic <i>Functional Processing of DeltaSigma BitStream</i>, Springer, Cham, Switzerland, 2020.
J. Intell. Fuzzy Syst., 2021
Wolfram Eilenberger <i>Time of the Magicians: Wittgenstein, Benjamin, Cassirer, Heidegger, and The Decade that Reinvented Philosophy</i> Penguin Press, New York, 2020.
J. Intell. Fuzzy Syst., 2021
Hung T. Nguyen, Carol L. Walker, and Elbert A. Walker <i>A First Course in Fuzzy Logic</i> (4th edition) CRC Press, Taylor & Francis Book, Boca Raton, Florida, 2019.
J. Intell. Fuzzy Syst., 2021
Joseph Henrich, <i>The WEIRDest People in the World: How the West Became Psychologically Peculiar and Particularly Prosperous</i>, Farrar, Straus, and Giroux, New York, 2020.
J. Intell. Fuzzy Syst., 2021
Int. J. Gen. Syst., 2021
Entropy, 2021
Entropy, 2021
Computación y Sistemas, 2021
Adv. Artif. Intell. Mach. Learn., 2021
Adv. Artif. Intell. Mach. Learn., 2021
While, In General, Uncertainty Quantification (UQ) Is NPHard, Many Practical UQ Problems Can Be Made Feasible.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Uncertainty: Ideas Behind Neural Networks Lead Us Beyond KL Decomposition and Interval Fields.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Fuzzy Logic Leads to a More Adequate Way of Processing LikertScale Values: Case Study of Burnout.
Proceedings of the Explainable AI and Other Applications of Fuzzy Techniques, 2021
Proceedings of the Explainable AI and Other Applications of Fuzzy Techniques, 2021
Proceedings of the Explainable AI and Other Applications of Fuzzy Techniques, 2021
Each Realistic Continuous Functional Dependence Implies a Relation Between Some Variables: A Theoretical Explanation of a FuzzyRelated Empirical Phenomenon.
Proceedings of the Explainable AI and Other Applications of Fuzzy Techniques, 2021
A Natural Formalization of ChangingOne'sMind Leads to Square Root of "Not" and to ComplexValued Fuzzy Logic.
Proceedings of the Explainable AI and Other Applications of Fuzzy Techniques, 2021
Proceedings of the Explainable AI and Other Applications of Fuzzy Techniques, 2021
Proceedings of the Explainable AI and Other Applications of Fuzzy Techniques, 2021
2020
Review of the Book "Mind in Motion: How Action Shapes Thought" by Barbara Tversky, Basic Books, New York, 2019.
J. Intell. Fuzzy Syst., 2020
Review of the book John Kay and Mervyn King, <i>Radical Uncertainty: Decision Making Beyond the Numbers</i>, W. W. Norton and Co., New York, 2020.
J. Intell. Fuzzy Syst., 2020
Towards Making Fuzzy Techniques More Adequate for Combining Knowledge of Several Experts.
J. Adv. Comput. Intell. Intell. Informatics, 2020
J. Adv. Comput. Intell. Intell. Informatics, 2020
J. Adv. Comput. Intell. Intell. Informatics, 2020
J. Adv. Comput. Intell. Intell. Informatics, 2020
How to Combine (Dis)Utilities of Different Aspects into a Single (Dis)Utility Value, and How This Is Related to Geometric Images of Happiness.
J. Adv. Comput. Intell. Intell. Informatics, 2020
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2020
If SpaceTime Is Discrete, It Could Be Possible to Solve NPComplete Problems in Polynomial Time.
Int. J. Unconv. Comput., 2020
Proceedings of the 15th IEEE International Conference of System of Systems Engineering, 2020
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Proceedings of the Fuzzy Information Processing 2020, 2020
How Mathematics and Computing Can Help Fight the Pandemic: Two Pedagogical Examples.
Proceedings of the Fuzzy Information Processing 2020, 2020
Why a Classification Based on Linear Approximation to Dynamical Systems Often Works Well in Nonlinear Cases.
Proceedings of the Fuzzy Information Processing 2020, 2020
How User Ratings Change with Time: Theoretical Explanation of an Empirical Formula.
Proceedings of the Fuzzy Information Processing 2020, 2020
Natural Invariance Explains Empirical Success of Specific Membership Functions, Hedge Operations, and Negation Operations.
Proceedings of the Fuzzy Information Processing 2020, 2020
Is There a Contradiction Between Statistics and Fairness: From Intelligent Control to Explainable AI.
Proceedings of the Fuzzy Information Processing 2020, 2020
Which Algorithms Are Feasible and Which Are Not: Fuzzy Techniques Can Help in Formalizing the Notion of Feasibility.
Proceedings of the Fuzzy Information Processing 2020, 2020
Proceedings of the Fuzzy Information Processing 2020, 2020
Proceedings of the Fuzzy Information Processing 2020, 2020
ScaleInvariance and Fuzzy Techniques Explain the Empirical Success of Inverse Distance Weighting and of Dual Inverse Distance Weighting in Geosciences.
Proceedings of the Fuzzy Information Processing 2020, 2020
How to Reconcile Randomness with Physicists' Belief that Every Theory Is Approximate: Informal Knowledge Is Needed.
Proceedings of the Fuzzy Information Processing 2020, 2020
How to Decide Which Cracks Should Be Repaired First: Theoretical Explanation of Empirical Formulas.
Proceedings of the Advances in Soft Computing, 2020
Proceedings of the Advances in Soft Computing, 2020
Adversarial Teaching Approach to Cybersecurity: A Mathematical Model Explains Why It Works Well.
Proceedings of the 24th International Conference on Information Visualisation, 2020
Proceedings of the 24th International Conference on Information Visualisation, 2020
Proceedings of the ISMSI '20: 2020 4th International Conference on Intelligent Systems, 2020
Why Deep Learning Is More Efficient than Support Vector Machines, and How it is Related to Sparsity Techniques in Signal Processing.
Proceedings of the ISMSI '20: 2020 4th International Conference on Intelligent Systems, 2020
Which Distributions (or Families of Distributions) Best Represent Interval Uncertainty: Case of PermutationInvariant Criteria.
Proceedings of the Information Processing and Management of Uncertainty in KnowledgeBased Systems, 2020
Proceedings of the Information Processing and Management of Uncertainty in KnowledgeBased Systems, 2020
White and BlackBox Computing and Measurements Under Limited Resources: Cloud, High Performance, and Quantum Computing, and Two Case Studies  Robotic Boat and Hierarchical Covid Testing.
Proceedings of the 2nd International Workshop on InformationCommunication Technologies & Embedded Systems (ICTES 2020) Mykolaiv, 2020
Formal Concept Analysis Techniques Can Help in Intelligent Control, Deep Learning, etc.
Proceedings of the Fifthteenth International Conference on Concept Lattices and Their Applications, 2020
Relativistic Effects Can Be Used to Achieve a Universal SquareRoot (Or Even Faster) Computation Speedup.
Proceedings of the Fields of Logic and Computation III, 2020
286, Springer, ISBN: 9783030464127, 2020
Working on One Part at a Time Is the Best Strategy for Software Production: A Proof.
Proceedings of the Decision Making under Constraints, 2020
Proceedings of the Decision Making under Constraints, 2020
Why Unexpectedly Positive Experiences Make Decision Makers More Optimistic: An Explanation.
Proceedings of the Decision Making under Constraints, 2020
Which Value $\widetilde{x}$ Best Represents a Sample x<sub>1, ...</sub> , x<sub>n</sub>: UtilityBased Approach Under Interval Uncertainty.
Proceedings of the Decision Making under Constraints, 2020
Proceedings of the Decision Making under Constraints, 2020
AttractionRepulsion Forces Between Biological Cells: A Theoretical Explanation of Empirical Formulas.
Proceedings of the Decision Making under Constraints, 2020
Proceedings of the Decision Making under Constraints, 2020
Plans Are Worthless but Planning Is Everything: A Theoretical Explanation of Eisenhower's Observation.
Proceedings of the Decision Making under Constraints, 2020
Proceedings of the Decision Making under Constraints, 2020
Italian Folk Multiplication Algorithm Is Indeed Better: It Is More Parallelizable.
Proceedings of the Decision Making under Constraints, 2020
How Neural Networks (NN) Can (Hopefully) Learn Faster by Taking into Account Known Constraints.
Proceedings of the Decision Making under Constraints, 2020
Proceedings of the Decision Making under Constraints, 2020
Fuzzy Systems Are Universal Approximators for Random Dependencies: A Simplified Proof.
Proceedings of the Decision Making under Constraints, 2020
2019
How to Take Expert Uncertainty into Account: Economic Approach Illustrated by Pavement Engineering Applications.
Proceedings of the Structural Changes and their Econometric Modeling, 2019
Proceedings of the Structural Changes and their Econometric Modeling, 2019
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
Russ. Digit. Libr. J., 2019
Russ. Digit. Libr. J., 2019
Russ. Digit. Libr. J., 2019
Russ. Digit. Libr. J., 2019
J. Intell. Fuzzy Syst., 2019
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2019
Computación y Sistemas, 2019
Axioms, 2019
Why Triangular Membership Functions Are Successfully Used in FTransform Applications: A Global Explanation to Supplement the Existing Local Ones.
Axioms, 2019
Relationship between Measurement Results and Expert Estimates of Cumulative Quantities, on the Example of Pavement Roughness.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
How to Use Quantum Computing to Check Which Inputs Are Relevant: A Proof That DeutschJozsa Algorithm Is, In Effect, the Only Possibility.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Faster Quantum Alternative to Softmax Selection in Deep Learning and Deep Reinforcement Learning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the PRIMA 2019: Principles and Practice of MultiAgent Systems, 2019
Proceedings of the Parallel Processing and Applied Mathematics, 2019
ProbabilityBased Approach Explains (and Even Improves) Heuristic Formulas of Defuzzification.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2019
Logarithms Are Not Infinity: A Rational PhysicsRelated Explanation of the Mysterious Statement by Lev Landau.
Proceedings of the Fuzzy Techniques: Theory and Applications, 2019
Proceedings of the Fuzzy Techniques: Theory and Applications, 2019
How to Fuse Expert Knowledge: Not Always "And" but a Fuzzy Combination of "And" and "Or".
Proceedings of the Fuzzy Techniques: Theory and Applications, 2019
Proceedings of the Fuzzy Techniques: Theory and Applications, 2019
Proceedings of the Fuzzy Techniques: Theory and Applications, 2019
Proceedings of the Fuzzy Techniques: Theory and Applications, 2019
Can We Improve the Standard Algorithm of Interval Computation by Taking Almost Monotonicity into Account?
Proceedings of the Fuzzy Techniques: Theory and Applications, 2019
High Concentrations Naturally Lead to FuzzyType Interactions and to Gravitational Wave Bursts.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019
In Its Usual Formulation, Fuzzy Computation Is, In General, NPHard, But a More Realistic Formulation Can Make It Feasible.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019
Between Dog and Wolf: A Continuous Transition from Fuzzy to Probabilistic Estimates.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019
Physics's Need for Interval Uncertainty and How It Explains Why Physical Space Is (at Least) 3Dimensional.
Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, 2019
For Quantum and Reversible Computing, Intervals Are More Appropriate Than General Sets, And Fuzzy Numbers Than General Fuzzy Sets.
Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, 2019
Towards a More Efficient Representation of Functions in Quantum and Reversible Computing.
Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, 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
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
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
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
Fuzzy Sets Syst., 2018
Fuzzy Analogues of Sets and Functions Can Be Uniquely Determined from the Corresponding Ordered Category: A Theorem.
Axioms, 2018
Adv. Fuzzy Syst., 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
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
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
Proceedings of the Econometrics for Financial Applications, 2018
Proceedings of the Econometrics for Financial Applications, 2018
Efficient ParameterEstimating Algorithms for SymmetryMotivated Models: Econometrics and Beyond.
Proceedings of the Econometrics for Financial Applications, 2018
Proceedings of the Econometrics for Financial Applications, 2018
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
Proceedings of the Econometrics for Financial Applications, 2018
2017
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
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
Int. J. Unconv. Comput., 2017
A simple probabilistic explanation of term frequencyinverse document frequency (tfidf) heuristic (and variations motivated by this explanation).
Int. J. Gen. Syst., 2017
Why some physicists are excited about the undecidability of the spectral gap problem and why should we.
Bull. EATCS, 2017
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
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
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
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
Proceedings of the Causal Inference in Econometrics, 2016
Proceedings of the Causal Inference in Econometrics, 2016
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.
Int. J. Comb. Optim. Probl. Informatics, 2016
Fuzzy Sets Syst., 2016
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
Proceedings of the Recent Developments and the New Direction in SoftComputing Foundations and Applications, 2016
Proceedings of the Recent Developments and the New Direction in SoftComputing Foundations and Applications, 2016
Chemical Kinetics in Situations Intermediate Between Usual and High Concentrations: FuzzyMotivated Derivation of the Formulas.
Proceedings of the Recent Developments and the New Direction in SoftComputing Foundations and Applications, 2016
How to Predict Nesting Sites and How to Measure Shoreline Erosion: Fuzzy and Probabilistic Techniques for EnvironmentRelated Spatial Data Processing.
Proceedings of the Recent Developments and the New Direction in SoftComputing Foundations and Applications, 2016
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
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
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
Proceedings of the 2016 Annual Conference of the North American Fuzzy Information Processing Society, 2016
Proceedings of the 2016 Annual Conference of the North American Fuzzy Information Processing Society, 2016
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
Proceedings of the Advances in Computational Intelligence, 2016
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
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
Proceedings of the ECAI 2016  22nd European Conference on Artificial Intelligence, 29 August2 September 2016, The Hague, The Netherlands, 2016
Proceedings of the Advances in Stochastic and Deterministic Global Optimization., 2016
2015
Is the World Itself Fuzzy? Physical Arguments and Unexpected Computational Consequences of Zadeh's Vision.
Proceedings of the Fifty Years of Fuzzy Logic and its Applications, 2015
Formalizing the Informal, Precisiating the Imprecise: How Fuzzy Logic Can Help Mathematicians and Physicists by Formalizing Their Intuitive Ideas.
Proceedings of the Towards the Future of Fuzzy Logic, 2015
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
J. Intell. Fuzzy Syst., 2015
J. Intell. Fuzzy Syst., 2015
J. Adv. Comput. Intell. Intell. Informatics, 2015
Security Risk Assessment: Towards a Justification for the Security Risk Factor Table Model.
J. Adv. Comput. Intell. Intell. Informatics, 2015
How Design Quality Improves with Increasing Computational Abilities: General Formulas and Case Study of Aircraft Fuel Efficiency.
J. Adv. Comput. Intell. Intell. Informatics, 2015
Fuzzy (and Interval) Techniques in the Age of Big Data: An Overview with Applications to Environmental Science, Geosciences, Engineering, and Medicine.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2015
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2015
Int. J. Comput. Commun. Control, 2015
Fuzzy Sets Syst., 2015
In Engineering Classes, How to Assign Partial Credit: From Current Subjective Practice to Exact Formulas (Based on Computational Intelligence Ideas).
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
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
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
Proceedings of the 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015
Proceedings of the 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015
From 1D to 2D fuzzy: A proof that intervalvalued and complexvalued are the only distributive options.
Proceedings of the 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015
Proceedings of the 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015
Simple linear interpolation explains all usual choices in fuzzy techniques: Membership functions, tnorms, tconorms, and defuzzification.
Proceedings of the 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015
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
Proceedings of the TwentyFourth International Joint Conference on Artificial Intelligence, 2015
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
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
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
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
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
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
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
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
Inf. Sci., 2014
Int. J. Knowl. Eng. Soft Data Paradigms, 2014
How to fully represent expert information about imprecise properties in a computer system: random sets, fuzzy sets, and beyond: an overview.
Int. J. Gen. Syst., 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
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
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
Proceedings of the Scientific Computing, Computer Arithmetic, and Validated Numerics, 2014
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
Soft Comput., 2013
Reliab. Comput., 2013
Is it Possible to Have a Feasible EnclosureComputing Method Which Is Independent of the Equivalent Form?
Reliab. Comput., 2013
Inf. Sci., 2013
Towards fast and accurate algorithms for processing fuzzy data: interval computations revisited.
Int. J. Gen. Syst., 2013
Int. J. Approx. Reason., 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
Proceedings of the IEEE International Conference on Systems, 2013
A SymmetryBased Approach to Selecting Membership Functions and Its Relation to Chemical Kinetics.
Proceedings of the IEEE International Conference on Systems, 2013
Proceedings of the IEEE International Conference on Systems, 2013
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
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
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
Proceedings of the On Fuzziness  A Homage to Lotfi A. Zadeh  Volume 1, 2013
Proceedings of the International conference on Autonomous Agents and MultiAgent Systems, 2013
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.
Stud Logica, 2012
J. Syst. Softw., 2012
Uniqueness of reconstruction for Yager's tnorm combination of probabilistic and possibilistic knowledge.
Int. J. Intell. Syst., 2012
Computing, 2012
Ann. Oper. Res., 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
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
Proceedings of the Game Theory for Security, 2012
2011
Reliab. Comput., 2011
Quantum computation techniques for gauging reliability of interval and fuzzy data.
Int. J. Gen. Syst., 2011
How to define a confidence set for functions: a new justification of the area method.
Int. J. Gen. Syst., 2011
Int. J. Gen. Syst., 2011
Fuzzy Sets Syst., 2011
Fuzzy Sets Syst., 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 Syst., 2011
Why Fuzzy Transform Is Efficient in LargeScale Prediction Problems: A Theoretical Explanation.
Adv. Fuzzy Syst., 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. Univers. Comput. Sci., 2010
J. Comput. Syst. Sci., 2010
How AIType Uncertainty Ideas Can Improve InterDisciplinary Collaboration and Education: Lessons from a Case Study.
J. Adv. Comput. Intell. Intell. Informatics, 2010
Estimating information amount under uncertainty: algorithmic solvability and computational complexity.
Int. J. Gen. Syst., 2010
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
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
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
Int. J. Intell. Syst., 2009
Tradeoff between sample size and accuracy: Case of measurements under interval uncertainty.
Int. J. Approx. Reason., 2009
Int. J. Approx. Reason., 2009
Informatics Educ., 2009
Int. J. Appl. Math. Comput. Sci., 2009
Toward Formalizing NonMonotonic Reasoning in Physics: the Use of Kolmogorov Complexity.
Inteligencia Artif., 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
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
Proceedings of the Interval / Probabilistic Uncertainty and NonClassical Logics, 2008
IEEE Trans. Fuzzy Syst., 2008
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.
Int. J. Autom. Control., 2008
Applicationmotivated combinations of fuzzy, interval and probability approaches, and their use in geoinformatics, bioinformatics and engineering.
Int. J. Autom. Control., 2008
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.
Reliab. Comput., 2007
IntervalRelated Talks at the Second International Conference on Fuzzy Sets and Soft Computing in Economics and Finance.
Reliab. Comput., 2007
IntervalRelated Talks at the North American Fuzzy Information Processing Society Annual Conference NAFIPS'06.
Reliab. Comput., 2007
Interval Talks at the International Conference on Information Processing and Management of Uncertainty in KnowledgeBased Systems IPMU'2006.
Reliab. Comput., 2007
MonteCarloType Techniques for Processing Interval Uncertainty, and Their Potential Engineering Applications.
Reliab. Comput., 2007
IntervalRelated Talks at the North American Fuzzy Information Processing Society Annual Conference NAFIPS'07.
Reliab. Comput., 2007
IntervalRelated Talks at the 2007 IEEE Symposium Series on Computational Intelligence.
Reliab. Comput., 2007
Reliab. Comput., 2007
On the functional form of convex underestimators for twice continuously differentiable functions.
Optim. Lett., 2007
J. Adv. Comput. Intell. Intell. Informatics, 2007
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
Int. J. Approx. Reason., 2007
Int. J. Approx. Reason., 2007
Fuzzy Sets Syst., 2007
Generating Linear Temporal Logic Formulas for PatternBased Specifications.
Proceedings of the Nineteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2007), 2007
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
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
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
SIGACT News, 2006
Reliab. Comput., 2006
Towards Combining Probabilistic and Interval Uncertainty in Engineering Calculations: Algorithms for Computing Statistics under Interval Uncertainty, and Their Computational Complexity.
Reliab. Comput., 2006
Reliab. Comput., 2006
Reliab. Comput., 2006
Reliab. Comput., 2006
IntervalRelated Talks at the International Conference on Fuzzy Systems, Neural Networks, and Genetic Algorithms FNG'05.
Reliab. Comput., 2006
Reliab. Comput., 2006
Expert SystemType Approach to Voice Disorders: Scheduling Botulinum Toxin Treatment for Adductor Spasmodic Dysphonia.
J. Adv. Comput. Intell. Intell. Informatics, 2006
Testing Hypotheses on Simulated Data: Why Traditional HypothesesTesting Statistics Are Not Always Adequate for Simulated Data, and How to Modify Them.
J. Adv. Comput. Intell. Intell. Informatics, 2006
J. Adv. Comput. Intell. Intell. Informatics, 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. Reason., 2006
Computing bestpossible bounds for the distribution of a sum of several variables is NPhard.
Int. J. Approx. Reason., 2006
Fuzzy Sets Syst., 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
SIGACT News, 2005
Checking If There Exists a Monotonic Function That Is Consistent with the Measurements: An Efficient Algorithm.
Reliab. Comput., 2005
Outlier Detection under Interval Uncertainty: Algorithmic Solvability and Computational Complexity.
Reliab. Comput., 2005
Reliab. Comput., 2005
Reliab. Comput., 2005
Reliab. Comput., 2005
Handbook of Learning and Approximate Dynamic Programming, by Jennie Si, Andrew G. Barto, Warren B. Powell and Donald Wunsch II, eds.
J. Intell. Fuzzy Syst., 2005
J. Intell. Fuzzy Syst., 2005
J. Intell. Fuzzy Syst., 2005
RealTime Optimization by ExtremumSeeking Control, by Kartik B. Ariyur and Miroslav Krstic.
J. Intell. Fuzzy Syst., 2005
Mining the Web: Discovering Knowledge from Hypertext Data, by Soumen Chakrabarti and Morgan Kaufmann.
J. Intell. Fuzzy Syst., 2005
Beyond Convex? Global Optimization is Feasible Only for Convex Objective Functions: A Theorem.
J. Glob. Optim., 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. Gen. Syst., 2005
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005
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
Soft Comput., 2004
Towards more realistic (e.g., nonassociative) "and" and "or"operations in fuzzy logic.
Soft Comput., 2004
Reliab. Eng. Syst. Saf., 2004
Eliminating Duplicates under Interval and Fuzzy Uncertainty: An Asymptotically Optimal Algorithm and Its Geospatial Applications.
Reliab. Comput., 2004
Dirty Pages of Logarithm Tables, Lifetime of the Universe, and (Subjective) Probabilities on Finite and Infinite Intervals.
Reliab. Comput., 2004
Reliab. Comput., 2004
Special Session "SetValued Numerics and Reliable Computing"  Sozopol, Bulgaria, June 48, 2003.
Reliab. Comput., 2004
IntervalRelated Talks at the 22th International Conference of the North American Fuzzy Information Processing Society NAFIPS'03  Chicago, Illinois, USA, July 2426, 2003.
Reliab. Comput., 2004
Fast Multiplication of Interval Matrices (Interval Version of Strassen's Algorithm).
Reliab. Comput., 2004
Computability and Complexity in Analysis (CCA). A View from Interval Computations  Cincinnati, Ohio, USA, August 2830, 2003.
Reliab. Comput., 2004
Numer. Algorithms, 2004
Interval Approach to Phase Measurements Can Lead to Arbitrarily Complex Sets  A Theorem and Ways around It.
Numer. Algorithms, 2004
A Feasible Algorithm for Locating Concave and Convex Zones of Interval Data and Its Use in StatisticsBased Clustering.
Numer. Algorithms, 2004
A Full FunctionBased Calculus of Directed and Undirected Intervals: Markov'S Interval Arithmetic Revisited.
Numer. Algorithms, 2004
Math. Log. Q., 2004
J. Intell. Fuzzy Syst., 2004
Computational intelligence: The experts speak, by David B. Fogel and Charles J. Robinson, eds.
J. Intell. Fuzzy Syst., 2004
Probabilities, Intervals, What Next? Optimization Problems Related to Extension of Interval Computations to Situations with Partial Information about Probabilities.
J. Glob. Optim., 2004
Corrigendum: Interval Methods In Knowledge Representation (Abstracts Of Recent Papers).
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2004
Checking identities is computationally intractable NPhard and therefore human provers will always be needed.
Int. J. Intell. Syst., 2004
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 Syst., 2004
SIGSAM Bull., 2004
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
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
Proceedings of the VI Brazilian Symposium on Geoinformatics, 2004
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.
Reliab. Comput., 2003
Are There EasytoCheck Necessary and Sufficient Conditions for Straightforward Interval Computations To Be Exact?
Reliab. Comput., 2003
Exact Upper Bound on the Mean of the Product of Many Random Variables with Known Expectations.
Reliab. Comput., 2003
On the relation between two approaches to combining evidence: Ordered Abelian Groups and uninorms.
J. Intell. Fuzzy Syst., 2003
Int. J. Intell. Syst., 2003
Fuzzy Sets Syst., 2003
Computational complexity of optimization and crude range testing: a new approach motivated by fuzzy optimization.
Fuzzy Sets Syst., 2003
Can quantum computers be useful when there are not yet enough qubits?
Bull. 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
Proceedings of the Numerical Software with Result Verification, 2003
2002
SIGACT News, 2002
IntervalRelated Talks at the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'02.
Reliab. Comput., 2002
Range Estimation Is NPHard for ?2 Accuracy and Feasible for <sub>epsilon</sub>2[delta].
Reliab. Comput., 2002
In Case of Interval (or More General) Uncertainty, No Algorithm Can Choose the Simplest Representative.
Reliab. Comput., 2002
Designing Interdisciplinary Approaches to Problem Solving into Computer Languages.
Trans. SDPS, 2002
A new universal approximation result for fuzzy systems, which reflects CNF DNF duality.
Int. J. Intell. Syst., 2002
Int. J. Intell. Syst., 2002
Computing the shape of the image of a multilinear mapping is possible but computationally intractable: Theorems.
Int. J. Gen. Syst., 2002
Int. J. Approx. Reason., 2002
Why is Selecting the Simplest Hypothesis (Consistent with Data) a Good Idea? A Simple Explanation.
Bull. EATCS, 2002
Proceedings of the 5th IEEE Southwest Symposium on Image Analysis and Interpretation, 2002
Proceedings of the 5th IEEE Southwest Symposium on Image Analysis and Interpretation, 2002
Use of satellite image referencing algorithms to characterize asphaltic concrete mixtures.
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002
Nondestructive testing of aerospace structures: granularity and data mining approach.
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002
Probability of implication, logical version of Bayes theorem, and fuzzy logic operations.
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002
Uncertainty in risk analysis: towards a general secondorder approach combining interval, probabilistic, and fuzzy techniques.
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002
Proceedings of the Fuzzy Logic and Probability Applications, 2002
2001
Itanium's new basic operation of fused multiplyadd: theoretical explanation and theoretical challenge.
SIGACT News, 2001
Reliab. Comput., 2001
Interval Methods and Their Applications: Invited Sessions at the World Automation Congress (WAC'2000) Maui, Hawaii, June 1016, 2000.
Reliab. Comput., 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, ....
Reliab. Comput., 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.
Reliab. Comput., 2001
Reliab. Comput., 2001
A Comment on the Shape of the Solution Set for Systems of Interval Linear Equations with Dependent Coefficients.
Reliab. Comput., 2001
Chu Spaces: Towards New Foundations for Fuzzy Logic and Fuzzy Control, with Applications to Information Flow on the World Wide Web.
J. Adv. Comput. Intell. Intell. Informatics, 2001
Inf. Process. Lett., 2001
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2001
Statistical and DempsterShafer Techniques in Testing Structural Integrity of Aerospace Structures.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2001
Aerospace Applications of Intervals: From Geospatial Data Processing to Fault Detection in Aerospace Structures.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2001
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2001
Interval Methods in Knowledge Representation (abstracts of recent papers).
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2001
Int. J. Medical Informatics, 2001
Int. J. Intell. Syst., 2001
Int. J. Intell. Syst., 2001
Strassen's Algorithm Made (Somewhat) More Natural: A Pedagogical Remark.
Bull. 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
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
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001
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
Proceedings of the 2nd International Conference in Fuzzy Logic and Technology, 2001
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<sup>5</sup> by Marko Petkovsek, Herbert S. Wilf, and Doron Zeilberger.
SIGACT News, 2000
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2000
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?
Bull. EATCS, 2000
How Important is Theory for Practical Problems? A Partial Explanation of Hartmanis' Observation.
Bull. EATCS, 2000
Computational complexity of planning and approximate planning in the presence of incompleteness.
Artif. Intell., 2000
Proceedings of the IEEE International Conference on Systems, 2000
Shadows of fuzzy setsa natural approach towards describing 2D and multiD fuzzy uncertainty in linguistic terms.
Proceedings of the Ninth IEEE International Conference on Fuzzy Systems, 2000
Proceedings of the Ninth IEEE International Conference on Fuzzy Systems, 2000
Intervals (pairs of fuzzy values), triples, etc.: can we thus get an arbitrary ordering?
Proceedings of the Ninth IEEE International Conference on Fuzzy 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
Soft Comput., 1999
Proceedings of the Working Group Reports from ITiCSE on Innovation and Technology in Computer Science Education, 1999
Reliab. Comput., 1999
Reliab. Comput., 1999
Reliab. Comput., 1999
Error Estimation for Indirect Measurements: Interval Computation Problem Is (Slightly) Harder Than a Similar Probabilistic Computational Problem.
Reliab. Comput., 1999
Fuzzy Modus Ponens as a Calculus of Logical Modifiers: Towards Zadeh's Vision of Implication Calculus.
Inf. Sci., 1999
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 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
Int. J. Approx. Reason., 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.
Bull. EATCS, 1999
Encryption Algorithms Made (Somewhat) More Natural (a pedagogical remark).
Bull. EATCS, 1999
On Average Bit Complexity of Interval Arithmetic.
Bull. EATCS, 1999
Cybern. Syst., 1999
1998
Solving Linear Interval Systems Is NPHard Even If We Exclude Overflow and Underflow.
Reliab. Comput., 1998
Reliab. Comput., 1998
Reliab. Comput., 1998
Algorithms That Still Produce a Solution (Maybe Not Optimal) Even When Interrupted: Shary's Idea Justified.
Reliab. Comput., 1998
Inf. Process. Lett., 1998
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1998
On the possibility of using complex values in fuzzy logic for representing inconsistencies.
Int. J. Intell. Syst., 1998
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
Int. J. Approx. Reason., 1998
Fuzzy Sets Syst., 1998
Proceedings of the 1998 ARO/ONR/NSF/DARPA Monterey Workshop on Engineering Automation for Computer Basesd Systems, 1998
Human Visual Perception and Kolmogorov Complexity: Revisited.
Bull. EATCS, 1998
Kolmogorov Complexity Justifies Software Engineering Heuristics.
Bull. EATCS, 1998
From interval computations to modal mathematics: applications and computational complexity.
SIGSAM Bull., 1998
Proceedings of the Seventeenth Symposium on Reliable Distributed Systems, 1998
1997
SIAM J. Matrix Anal. Appl., July, 1997
IEEE Trans. Fuzzy Syst., 1997
Soft Comput., 1997
Using GelfondPrzymusinska's epistemic specifications to justify (some) heuristic methods used in expert systems and intelligent control.
Soft Comput., 1997
ACM SIGCSE Bull., 1997
From Numerical Intervals to Set Intervals (IntervalRelated Results Presented at the First International Workshop on Applications and Theory of Random Sets).
Reliab. Comput., 1997
Reliab. Comput., 1997
Reliab. Comput., 1997
Reliab. Comput., 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.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1997
Guest Editors' Introduction: Interval Methods in Representing and Processing Uncertainty.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1997
Int. J. Intell. Syst., 1997
Fuzzy Sets Syst., 1997
Introduction: Logic Programming, NonMonotonic Reasoning and Reasoning about Actions.
Ann. Math. Artif. Intell., 1997
1996
Reliab. Comput., 1996
If we measure a number, we get an interval. What if we measure a function or an operator?
Reliab. Comput., 1996
Optimal interval enclosures for fractionallylinear functions, and their application to intelligent control.
Reliab. Comput., 1996
Reliab. Comput., 1996
Interval methods that are guaranteed to underestimate (and the resulting new justification of Kaucher arithmetic).
Reliab. Comput., 1996
Reliab. Comput., 1996
Linear interval equations: Computing enclosures with bounded relative or absolute overestimation is NPhard.
Reliab. Comput., 1996
Double bubble minimizes: Interval computations help in solving a longstanding geometric problem.
Reliab. Comput., 1996
Reliab. Comput., 1996
Reliab. Comput., 1996
Reliab. Comput., 1996
Maximum entropy and interval computations  (September notes on summer impressions).
Reliab. Comput., 1996
Fast error estimates for indirect measurements: applications to pavement engineering.
Reliab. Comput., 1996
Reliab. Comput., 1996
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 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 Syst., 1996
Fuzzy Sets Syst., 1996
Towards a More Realistic Definition of Feasibility.
Bull. EATCS, 1996
Zeros of Riemann's Zeta Function are Uniformly Distributed, but not Random: An Answer to Calude's Open Problem.
Bull. EATCS, 1996
1995
Computing Exact Componentwise Bounds on Solutions of Lineary Systems with Interval Data is NPHard.
SIAM J. Matrix Anal. Appl., 1995
A bright side of NPhardness of interval computations: interval heuristics applied to NPproblems.
Reliab. Comput., 1995
A new characterization of the set of all intervals, based on the necessity to check consistency easily.
Reliab. Comput., 1995
Applications of interval computations to earthquakeresistant engineering: How to compute derivatives of interval functions fast.
Reliab. Comput., 1995
Towards the future of interval computations  Editors' Introduction to the student issue.
Reliab. Comput., 1995
Why intervals? A simple limit theorem that is similar to limit theorems from statistics.
Reliab. Comput., 1995
Reliab. Comput., 1995
Reliab. Comput., 1995
Interpolation that leads to the narrowest intervals and its application to expert systems and intelligent control.
Reliab. Comput., 1995
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1995
Int. J. Intell. Syst., 1995
Int. J. Intell. Syst., 1995
1994
Neural Parallel Sci. Comput., 1994
Neural Parallel Sci. Comput., 1994
An Application of Logic to Combinatorial Geometry: How Many Tetrahedra are Equidecomposable with a Cube?
Math. Log. Q., 1994
Inf. Sci., 1994
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 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 Sci. Comput., 1993
Neural Networks, 1993
Comput. Graph., 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.
Int. J. Softw. Eng. Knowl. Eng., 1991
1988
Proceedings of the COLOG88, 1988