Vladik Y Kreinovich


Ontology type: schema:Person     


Person Info

NAME

Vladik Y

SURNAME

Kreinovich

Publications in SciGraph latest 50 shown

  • 2021-12-09 Why a Classification Based on Linear Approximation to Dynamical Systems Often Works Well in Nonlinear Cases in FUZZY INFORMATION PROCESSING 2020
  • 2021-12-09 Optimal Search Under Constraints in FUZZY INFORMATION PROCESSING 2020
  • 2021-12-09 Is There a Contradiction Between Statistics and Fairness: From Intelligent Control to Explainable AI in FUZZY INFORMATION PROCESSING 2020
  • 2021-12-09 How to Reconcile Randomness with Physicists’ Belief that Every Theory Is Approximate: Informal Knowledge Is Needed in FUZZY INFORMATION PROCESSING 2020
  • 2021-12-09 How User Ratings Change with Time: Theoretical Explanation of an Empirical Formula in FUZZY INFORMATION PROCESSING 2020
  • 2021-12-09 Which Algorithms Are Feasible and Which Are Not: Fuzzy Techniques Can Help in Formalizing the Notion of Feasibility in FUZZY INFORMATION PROCESSING 2020
  • 2021-12-09 Natural Invariance Explains Empirical Success of Specific Membership Functions, Hedge Operations, and Negation Operations in FUZZY INFORMATION PROCESSING 2020
  • 2021-12-09 How Mathematics and Computing Can Help Fight the Pandemic: Two Pedagogical Examples in FUZZY INFORMATION PROCESSING 2020
  • 2021-12-09 Scale-Invariance and Fuzzy Techniques Explain the Empirical Success of Inverse Distance Weighting and of Dual Inverse Distance Weighting in Geosciences in FUZZY INFORMATION PROCESSING 2020
  • 2021-12-09 Centroids Beyond Defuzzification in FUZZY INFORMATION PROCESSING 2020
  • 2021-12-09 Equations for Which Newton’s Method Never Works: Pedagogical Examples in FUZZY INFORMATION PROCESSING 2020
  • 2021-07-28 Fuzzy Logic Leads to a More Adequate Way of Processing Likert-Scale Values: Case Study of Burnout in EXPLAINABLE AI AND OTHER APPLICATIONS OF FUZZY TECHNIQUES
  • 2021-07-28 Why Fuzzy Techniques in Explainable AI? Which Fuzzy Techniques in Explainable AI? in EXPLAINABLE AI AND OTHER APPLICATIONS OF FUZZY TECHNIQUES
  • 2021-07-28 Each Realistic Continuous Functional Dependence Implies a Relation Between Some Variables: A Theoretical Explanation of a Fuzzy-Related Empirical Phenomenon in EXPLAINABLE AI AND OTHER APPLICATIONS OF FUZZY TECHNIQUES
  • 2021-07-28 Mexican Folk Arithmetic Algorithm Makes Perfect Sense in EXPLAINABLE AI AND OTHER APPLICATIONS OF FUZZY TECHNIQUES
  • 2021-07-28 What Teachers Can Learn from Machine Learning in EXPLAINABLE AI AND OTHER APPLICATIONS OF FUZZY TECHNIQUES
  • 2021-07-28 How Much for a Set: General Case of Decision Making Under Set-Valued Uncertainty in EXPLAINABLE AI AND OTHER APPLICATIONS OF FUZZY TECHNIQUES
  • 2021-07-28 A Natural Formalization of Changing-One’s-Mind Leads to Square Root of “Not” and to Complex-Valued Fuzzy Logic in EXPLAINABLE AI AND OTHER APPLICATIONS OF FUZZY TECHNIQUES
  • 2021-07-27 How to Explain the Anchoring Formula in Behavioral Economics in PREDICTION AND CAUSALITY IN ECONOMETRICS AND RELATED TOPICS
  • 2021-07-27 Why LASSO, Ridge Regression, and EN: Explanation Based on Soft Computing in PREDICTION AND CAUSALITY IN ECONOMETRICS AND RELATED TOPICS
  • 2021-07-27 Why Most Empirical Distributions Are Few-Modal in PREDICTION AND CAUSALITY IN ECONOMETRICS AND RELATED TOPICS
  • 2021-07-27 Commonsense Explanations of Sparsity, Zipf Law, and Nash’s Bargaining Solution in PREDICTION AND CAUSALITY IN ECONOMETRICS AND RELATED TOPICS
  • 2021-07-27 How the Proportion of People Who Agree to Perform a Task Depends on the Stimulus: A Theoretical Explanation of the Empirical Formula in PREDICTION AND CAUSALITY IN ECONOMETRICS AND RELATED TOPICS
  • 2021-06-17 Why Some Power Laws Are Possible and Some Are Not in SOFT COMPUTING: BIOMEDICAL AND RELATED APPLICATIONS
  • 2021-06-17 Optimization Under Fuzzy Constraints: Need to Go Beyond Bellman-Zadeh Approach and How It Is Related to Skewed Distributions in SOFT COMPUTING: BIOMEDICAL AND RELATED APPLICATIONS
  • 2021-06-17 Why It Is Sufficient to Have Real-Valued Amplitudes in Quantum Computing in SOFT COMPUTING: BIOMEDICAL AND RELATED APPLICATIONS
  • 2021-06-17 Need for Diversity in Elected Decision-Making Bodies: Economics-Related Analysis in SOFT COMPUTING: BIOMEDICAL AND RELATED APPLICATIONS
  • 2021-06-17 How to Estimate the Stiffness of a Multi-layer Road Based on Properties of Layers: Symmetry-Based Explanation for Odemark’s Equation in SOFT COMPUTING: BIOMEDICAL AND RELATED APPLICATIONS
  • 2021-04-16 Special issue on soft computing in economic application in SOFT COMPUTING
  • 2021-04-05 We Need Fuzzy Techniques to Design Successful Human-Like Robots in TOWARD HUMANOID ROBOTS: THE ROLE OF FUZZY SETS
  • 2021-03-21 Fundamental Properties of Pair-Wise Interactions Naturally Lead to Quarks and Quark Confinement: A Theorem Motivated by Neural Universal Approximation Results in HOW UNCERTAINTY-RELATED IDEAS CAN PROVIDE THEORETICAL EXPLANATION FOR EMPIRICAL DEPENDENCIES
  • 2021-03-21 A Recent Result About Random Metric Spaces Explains Why All of Us Have Similar Learning Potential in HOW UNCERTAINTY-RELATED IDEAS CAN PROVIDE THEORETICAL EXPLANATION FOR EMPIRICAL DEPENDENCIES
  • 2021-03-21 A “Fuzzy” Like Button Can Decrease Echo Chamber Effect in HOW UNCERTAINTY-RELATED IDEAS CAN PROVIDE THEORETICAL EXPLANATION FOR EMPIRICAL DEPENDENCIES
  • 2021-03-21 Finitely Generated Sets of Fuzzy Values: If “And” Is Exact, Then “Or” Is Almost Always Approximate, and Vice Versa—A Theorem in HOW UNCERTAINTY-RELATED IDEAS CAN PROVIDE THEORETICAL EXPLANATION FOR EMPIRICAL DEPENDENCIES
  • 2021-03-21 How Can We Explain Different Number Systems? in HOW UNCERTAINTY-RELATED IDEAS CAN PROVIDE THEORETICAL EXPLANATION FOR EMPIRICAL DEPENDENCIES
  • 2021-03-21 Why Immediate Repetition Is Good for Short-Time Learning Results but Bad for Long-Time Learning: Explanation Based on Decision Theory in HOW UNCERTAINTY-RELATED IDEAS CAN PROVIDE THEORETICAL EXPLANATION FOR EMPIRICAL DEPENDENCIES
  • 2021-03-21 What Segments Are the Best in Representing Contours? in HOW UNCERTAINTY-RELATED IDEAS CAN PROVIDE THEORETICAL EXPLANATION FOR EMPIRICAL DEPENDENCIES
  • 2021-03-21 Why Gamma Distribution of Seismic Inter-Event Times: A Theoretical Explanation in HOW UNCERTAINTY-RELATED IDEAS CAN PROVIDE THEORETICAL EXPLANATION FOR EMPIRICAL DEPENDENCIES
  • 2021-03-21 Status Quo Bias Actually Helps Decision Makers to Take Nonlinearity into Account: An Explanation in HOW UNCERTAINTY-RELATED IDEAS CAN PROVIDE THEORETICAL EXPLANATION FOR EMPIRICAL DEPENDENCIES
  • 2021-03-21 Towards a Theoretical Explanation of How Pavement Condition Index Deteriorates over Time in HOW UNCERTAINTY-RELATED IDEAS CAN PROVIDE THEORETICAL EXPLANATION FOR EMPIRICAL DEPENDENCIES
  • 2021-03-21 Fuzzy Logic Explains the Usual Choice of Logical Operations in 2-Valued Logic in HOW UNCERTAINTY-RELATED IDEAS CAN PROVIDE THEORETICAL EXPLANATION FOR EMPIRICAL DEPENDENCIES
  • 2021-03-21 Why Class-D Audio Amplifiers Work Well: A Theoretical Explanation in HOW UNCERTAINTY-RELATED IDEAS CAN PROVIDE THEORETICAL EXPLANATION FOR EMPIRICAL DEPENDENCIES
  • 2021-03-21 Dimension Compactification—A Possible Explanation for Superclusters and for Empirical Evidence Usually Interpreted as Dark Matter in HOW UNCERTAINTY-RELATED IDEAS CAN PROVIDE THEORETICAL EXPLANATION FOR EMPIRICAL DEPENDENCIES
  • 2021-03-21 Absence of Remotely Triggered Large Earthquakes: A Geometric Explanation in HOW UNCERTAINTY-RELATED IDEAS CAN PROVIDE THEORETICAL EXPLANATION FOR EMPIRICAL DEPENDENCIES
  • 2021-03-21 Linear Neural Networks Revisited: From PageRank to Family Happiness in HOW UNCERTAINTY-RELATED IDEAS CAN PROVIDE THEORETICAL EXPLANATION FOR EMPIRICAL DEPENDENCIES
  • 2021-03-21 Intuitive Idea of Implication Versus Formal Definition: How to Define the Corresponding Degree in HOW UNCERTAINTY-RELATED IDEAS CAN PROVIDE THEORETICAL EXPLANATION FOR EMPIRICAL DEPENDENCIES
  • 2021-03-21 Why 3 Basic Colors? Why 4 Basic Tastes? in HOW UNCERTAINTY-RELATED IDEAS CAN PROVIDE THEORETICAL EXPLANATION FOR EMPIRICAL DEPENDENCIES
  • 2021-03-21 Quantum Computing as a Particular Case of Computing with Tensors in HOW UNCERTAINTY-RELATED IDEAS CAN PROVIDE THEORETICAL EXPLANATION FOR EMPIRICAL DEPENDENCIES
  • 2021-03-21 Strength of Lime Stabilized Pavement Materials: Possible Theoretical Explanation of Empirical Dependencies in HOW UNCERTAINTY-RELATED IDEAS CAN PROVIDE THEORETICAL EXPLANATION FOR EMPIRICAL DEPENDENCIES
  • 2021-03-21 A Natural Explanation for the Minimum Entropy Production Principle in HOW UNCERTAINTY-RELATED IDEAS CAN PROVIDE THEORETICAL EXPLANATION FOR EMPIRICAL DEPENDENCIES
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