Olga Kosheleva

Proceedings of the Decision Making Under Uncertainty and Constraints - A Why-Book, 2023

How to Detect (and Analyze) Independent Subsystems of a Black-Box (or Grey-Box) System.

[BibT_eX]

[DOI]

Saeid Tizpaz-Niari

Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

Why Five Stages of Solar Activity, Why Five Stages of Grief, Why Seven Plus Minus Two: A General Geometric Explanation.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

Freedom of Will, Non-uniqueness of Cauchy Problem, Fractal Processes, Renormalization, Phase Transitions, and Stealth Aircraft.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

As Complexity Rises, Meaningful Statements Lose Precision - But Why?

[BibT_eX]

[DOI]

Proceedings of the Decision Making Under Uncertainty and Constraints - A Why-Book, 2023

Why Some Theoretically Possible Representations of Natural Numbers Were Historically Used and Some Were Not: An Algorithm-Based Explanation.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

Towards Better Ways to Compute the Overall Grade for a Class.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

Shall We Ignore All Intermediate Grades?

[BibT_eX]

[DOI]

Proceedings of the Decision Making Under Uncertainty and Constraints - A Why-Book, 2023

Why 70/100 Is Satisfactory? Why Five Letter Grades? Why Other Academic Conventions?

[BibT_eX]

[DOI]

Proceedings of the Decision Making Under Uncertainty and Constraints - A Why-Book, 2023

Why Self-Esteem Helps to Solve Problems: An Algorithmic Explanation.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

Epistemic Versus Aleatory: Case of Interval Uncertainty.

[BibT_eX]

[DOI]

Marina Tuyako Mizukoshi

Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

Data Processing Under Fuzzy Uncertainty: Towards More Accurate Algorithms.

[BibT_eX]

[DOI]

Marina Tuyako Mizukoshi

Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

An Argument in Favor of Piecewise-Constant Membership Functions.

[BibT_eX]

[DOI]

Marina Tuyako Mizukoshi

Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

Additional Spatial Dimensions Can Help Speed Up Computations.

[BibT_eX]

[DOI]

Luc Longpré

Proceedings of the Decision Making Under Uncertainty and Constraints - A Why-Book, 2023

Baudelaire's Ideas of Vagueness and Uniqueness in Art: Algorithm-Based Explanations.

[BibT_eX]

[DOI]

Luc Longpré

Proceedings of the Decision Making Under Uncertainty and Constraints - A Why-Book, 2023

What if There Are Too Many Outliers?

[BibT_eX]

[DOI]

Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

Why Hate: Analysis Based on Decision Theory.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

Why Aspirational Goals: Geometric Explanation.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

How to Deal with Conflict of Interest Situations When Selecting the Best Submission.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

Really Good Theorems Are Those That End Their Life as Definitions: Why.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

How to Make Quantum Ideas Less Counter-Intuitive: A Simple Analysis of Measurement Uncertainty Can Help.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

Why Would Anyone Invest in a High-Risk Low-Profit Enterprise?

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

How Probable is a Revolution? A Natural ReLU-Like Formula That Fits the Historical Data.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

Everyone is Above Average: Is It Possible? Is It Good?

[BibT_eX]

[DOI]

Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

A General Commonsense Explanation of Several Medical Results.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

Blessings, God, Sacrifices: Possible Rational Explanations of Biblical Ideas.

[BibT_eX]

[DOI]

Proceedings of the Decision Making Under Uncertainty and Constraints - A Why-Book, 2023

Gödel's Proof of Existence of God Revisited.

[BibT_eX]

[DOI]

Proceedings of the Decision Making Under Uncertainty and Constraints - A Why-Book, 2023

Lev Landau's Marital Advice Explained.

[BibT_eX]

[DOI]

Proceedings of the Decision Making Under Uncertainty and Constraints - A Why-Book, 2023

Why Semi-supervised Learning Makes Sense: A Pedagogical Note.

[BibT_eX]

[DOI]

Proceedings of the Decision Making Under Uncertainty and Constraints - A Why-Book, 2023

Why Chomsky Normal Form: A Pedagogical Note.

[BibT_eX]

[DOI]

Proceedings of the Decision Making Under Uncertainty and Constraints - A Why-Book, 2023

What Is 1/0 from the Practical Viewpoint: A Pedagogical Note.

[BibT_eX]

[DOI]

Proceedings of the Decision Making Under Uncertainty and Constraints - A Why-Book, 2023

Why ∞ is a Reasonable Symbol for Infinity.

[BibT_eX]

[DOI]

Proceedings of the Decision Making Under Uncertainty and Constraints - A Why-Book, 2023

How to Teach Advanced Highly Motivated Students: Teaching Strategy of Iosif Yakovlevich Verebeichik.

[BibT_eX]

[DOI]

Proceedings of the Decision Making Under Uncertainty and Constraints - A Why-Book, 2023

Selfish Gene Theory Explains Oedipus Complex.

[BibT_eX]

[DOI]

Juan Carlos Figueroa García

Proceedings of the Decision Making Under Uncertainty and Constraints - A Why-Book, 2023

Estimating Skewness and Higher Central Moments of an Interval-Valued Fuzzy Set.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

How to Detect the Fundamental Frequency: Approach Motivated by Soft Computing and Computational Complexity.

[BibT_eX]

[DOI]

Eric Freudenthal

Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

Why Geological Regions?

[BibT_eX]

[DOI]

Daniela Flores

Proceedings of the Decision Making Under Uncertainty and Constraints - A Why-Book, 2023

Why Convex Combination is an Effective Crossover Operation in Continuous Optimization: A Theoretical Explanation.

[BibT_eX]

[DOI]

Kelly Cohen

Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

How to Best Write Research Papers: Basic English? Sophisticated English?

[BibT_eX]

[DOI]

Proceedings of the Decision Making Under Uncertainty and Constraints - A Why-Book, 2023

How to Describe Relative Approximation Error? A New Justification for Gustafson's Logarithmic Expression.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

Why Rarity Score Is a Good Evaluation of a Non-Fungible Token.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

Why Base-20, Base-40, and Base-60 Number Systems?

[BibT_eX]

[DOI]

Sean R. Aguilar

Proceedings of the Decision Making Under Uncertainty and Constraints - A Why-Book, 2023

2022

How to Take All Available Information into Account in Fuzzy Decision Making: Beyond Traditional "And" - and "Or" - Operations.

[BibT_eX]

[DOI]

J. Multiple Valued Log. Soft Comput., 2022

Why neural networks in the first place: a theoretical explanation.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2022

Invariance-Based Approach Explains Empirical Formulas from Pavement Engineering to Deep Learning.

[BibT_eX]

[DOI]

Adv. Artif. Intell. Mach. Learn., 2022

Need for Techniques Intermediate Between Interval and Probabilistic Ones.

[BibT_eX]

[DOI]

Proceedings of the Parallel Processing and Applied Mathematics, 2022

Why Gaussian Copulas Are Ubiquitous in Economics: Fuzzy-Related Explanation.

[BibT_eX]

[DOI]

Chon Van Le

Proceedings of the Applications of Fuzzy Techniques, 2022

Commonsense-Continuous Dynamical Systems - Stationary States, Prediction, and Reconstruction of the Past: Fuzzy-Based Analysis.

[BibT_eX]

[DOI]

Proceedings of the Applications of Fuzzy Techniques, 2022

How to Elicit Complex-Valued Fuzzy Degrees.

[BibT_eX]

[DOI]

Proceedings of the Applications of Fuzzy Techniques, 2022

Seemingly Counter-Intuitive Features of Good-to-Great Companies Actually Make Perfect Sense: Possible Algorithmics-Based Explanations.

[BibT_eX]

[DOI]

Proceedings of the IEEE 11th International Conference on Intelligent Systems, 2022

Why 1/(1+d) Is an Effective Distance-Based Similarity Measure: Two Explanations.

[BibT_eX]

[DOI]

Julio C. Urenda

Proceedings of the IEEE 11th International Conference on Intelligent Systems, 2022

Invariance Explains Empirical Success of Many Intelligent Techniques.

[BibT_eX]

[DOI]

Proceedings of the IEEE 11th International Conference on Intelligent Systems, 2022

Why People Tend to Overestimate Joint Probabilities.

[BibT_eX]

[DOI]

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2022

Data Processing under Fuzzy Uncertainty: Towards More Efficient Algorithms.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

2021

Z-Numbers: How They Describe Student Confidence and How They Can Explain (and Improve) Laplacian and Schroedinger Eigenmap Dimension Reduction in Data Analysis.

[BibT_eX]

[DOI]

Michael Zakharevich

Proceedings of the Fuzzy Approaches for Soft Computing and Approximate Reasoning: Theories and Applications, 2021

When to stop testing software: economic approach.

[BibT_eX]

[DOI]

Nguyen Ngoc Thach

Soft Comput., 2021

Impact of super heavy load vehicles on transportation infrastructure: economic aspects.

[BibT_eX]

[DOI]

Soft Comput., 2021

How effective are we: towards a more convincing Stochastic Frontier analysis.

[BibT_eX]

[DOI]

Nguyen Ngoc Thach

Laura Berrout

Soft Comput., 2021

Estimating a probability distribution corresponding to the negation of a property.

[BibT_eX]

[DOI]

Soft Comput., 2021

Why linear expressions in discounting and in empathy: a symmetry-based explanation.

[BibT_eX]

[DOI]

Supanika Leurcharusmee

José Guadalupe Flores Muñiz

Soft Comput., 2021

Even in simple economic systems, equilibrium can be non-unique: an example.

[BibT_eX]

[DOI]

Nancy Solis García

Viacheslav Kalashnikov

Nataliya I. Kalashnykova

Soft Comput., 2021

Amanda Jansen, Rough Draft Math: Revising to Learn, Stenhouse Publishers, Portsmouth, New Hampshire, 2020.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2021

Djuro G. Zrilic Functional Processing of Delta-Sigma Bit-Stream, Springer, Cham, Switzerland, 2020.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2021

Wolfram Eilenberger Time of the Magicians: Wittgenstein, Benjamin, Cassirer, Heidegger, and The Decade that Reinvented Philosophy Penguin Press, New York, 2020.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2021

Hung T. Nguyen, Carol L. Walker, and Elbert A. Walker A First Course in Fuzzy Logic (4th edition) CRC Press, Taylor & Francis Book, Boca Raton, Florida, 2019.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2021

Joseph Henrich, The WEIRDest People in the World: How the West Became Psychologically Peculiar and Particularly Prosperous, Farrar, Straus, and Giroux, New York, 2020.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2021

Invariance-based approach: general methods and pavement engineering case study.

[BibT_eX]

[DOI]

Int. J. Gen. Syst., 2021

Limit Theorems as Blessing of Dimensionality: Neural-Oriented Overview.

[BibT_eX]

[DOI]

Entropy, 2021

Negations of Probability Distributions: A Survey.

[BibT_eX]

[DOI]

Computación y Sistemas, 2021

While, In General, Uncertainty Quantification (UQ) Is NP-Hard, Many Practical UQ Problems Can Be Made Feasible.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Uncertainty: Ideas Behind Neural Networks Lead Us Beyond KL- Decomposition and Interval Fields.

[BibT_eX]

[DOI]

Michael Beer

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Fuzzy Logic Leads to a More Adequate Way of Processing Likert-Scale Values: Case Study of Burnout.

[BibT_eX]

[DOI]

Proceedings of the Explainable AI and Other Applications of Fuzzy Techniques, 2021

Mexican Folk Arithmetic Algorithm Makes Perfect Sense.

[BibT_eX]

[DOI]

Proceedings of the Explainable AI and Other Applications of Fuzzy Techniques, 2021

What Teachers Can Learn from Machine Learning.

[BibT_eX]

[DOI]

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 Fuzzy-Related Empirical Phenomenon.

[BibT_eX]

[DOI]

Proceedings of the Explainable AI and Other Applications of Fuzzy Techniques, 2021

A Natural Formalization of Changing-One's-Mind Leads to Square Root of "Not" and to Complex-Valued Fuzzy Logic.

[BibT_eX]

[DOI]

Proceedings of the Explainable AI and Other Applications of Fuzzy Techniques, 2021

Why Fuzzy Techniques in Explainable AI? Which Fuzzy Techniques in Explainable AI?

[BibT_eX]

[DOI]

Proceedings of the Explainable AI and Other Applications of Fuzzy Techniques, 2021

How Much for a Set: General Case of Decision Making Under Set-Valued Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the Explainable AI and Other Applications of Fuzzy Techniques, 2021

2020

How to Describe Conditions Like 2-out-of-5 in Fuzzy Logic: A Neural Approach.

[BibT_eX]

[DOI]

Hoang Phuong Nguyen

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.

[BibT_eX]

[DOI]

J. Adv. Comput. Intell. Intell. Informatics, 2020

Towards Security of Cyber-Physical Systems using Quantum Computing Algorithms.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Conference of System of Systems Engineering, 2020

Why Squashing Functions in Multi-Layer Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Equations for Which Newton's Method Never Works: Pedagogical Examples.

[BibT_eX]

[DOI]

Proceedings of the Fuzzy Information Processing 2020, 2020

How Mathematics and Computing Can Help Fight the Pandemic: Two Pedagogical Examples.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Fuzzy Information Processing 2020, 2020

Optimal Search Under Constraints.

[BibT_eX]

[DOI]

Proceedings of the Fuzzy Information Processing 2020, 2020

How to Decide Which Cracks Should Be Repaired First: Theoretical Explanation of Empirical Formulas.

[BibT_eX]

[DOI]

Proceedings of the Advances in Soft Computing, 2020

Why Majority Rule Does Not Work in Quantum Computing: A Pedagogical Explanation.

[BibT_eX]

[DOI]

Oscar Galindo

Proceedings of the Advances in Soft Computing, 2020

Adversarial Teaching Approach to Cybersecurity: A Mathematical Model Explains Why It Works Well.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Information Visualisation, 2020

Let Us Use Negative Examples in Regression-Type Problems Too.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Information Visualisation, 2020

Deep Learning (Partly) Demystified.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Uram Anibal Sosa Aguirre

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 Permutation-Invariant Criteria.

[BibT_eX]

[DOI]

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

Why Spiking Neural Networks Are Efficient: A Theorem.

[BibT_eX]

[DOI]

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

White- and Black-Box Computing and Measurements Under Limited Resources: Cloud, High Performance, and Quantum Computing, and Two Case Studies - Robotic Boat and Hierarchical Covid Testing.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Workshop on Information-Communication Technologies & Embedded Systems (ICTES 2020) Mykolaiv, 2020

Relativistic Effects Can Be Used to Achieve a Universal Square-Root (Or Even Faster) Computation Speedup.

[BibT_eX]

[DOI]

Proceedings of the Fields of Logic and Computation III, 2020

Why Decimal System and Binary System Are the Most Widely Used: A Possible Explanation.

[BibT_eX]

[DOI]

Gerardo Muela

Proceedings of the Decision Making under Constraints, 2020

When We Know the Number of Local Maxima, Then We Can Compute All of Them.

[BibT_eX]

[DOI]

Proceedings of the Decision Making under Constraints, 2020

Attraction-Repulsion Forces Between Biological Cells: A Theoretical Explanation of Empirical Formulas.

[BibT_eX]

[DOI]

Proceedings of the Decision Making under Constraints, 2020

Reverse Mathematics Is Computable for Interval Computations.

[BibT_eX]

[DOI]

Proceedings of the Decision Making under Constraints, 2020

Italian Folk Multiplication Algorithm Is Indeed Better: It Is More Parallelizable.

[BibT_eX]

[DOI]

Proceedings of the Decision Making under Constraints, 2020

2019

How to Take Expert Uncertainty into Account: Economic Approach Illustrated by Pavement Engineering Applications.

[BibT_eX]

[DOI]

Carlos M. Chang Albitres

Thach Ngoc Nguyen

Proceedings of the Structural Changes and their Econometric Modeling, 2019

Algorithmic Need for Subcopulas.

[BibT_eX]

[DOI]

Proceedings of the Structural Changes and their Econometric Modeling, 2019

Quantum Approach Explains the Need for Expert Knowledge: On the Example of Econometrics.

[BibT_eX]

[DOI]

Proceedings of the Structural Changes and their Econometric Modeling, 2019

Anatole France's Statement on Education Transformed into a Theorem.

[BibT_eX]

[DOI]

Mourat Tchoshanov

Russ. Digit. Libr. J., 2019

Egyptian Fractions Re-Revisited.

[BibT_eX]

[DOI]

Russ. Digit. Libr. J., 2019

How to Assign Points for Chores.

[BibT_eX]

[DOI]

Russ. Digit. Libr. J., 2019

How to Assign Grades to Tasks so as to Maximize Student Efforts.

[BibT_eX]

[DOI]

Vyacheslav Kalashnikov

Nataliya I. Kalashnykova

Russ. Digit. Libr. J., 2019

Contrast Similarity Measures of Fuzzy Sets.

[BibT_eX]

[DOI]

Computación y Sistemas, 2019

Why Use a Fuzzy Partition in F-Transform?

[BibT_eX]

[DOI]

Axioms, 2019

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

[BibT_eX]

[DOI]

Thach Ngoc Nguyen

Axioms, 2019

Softmax and McFadden's Discrete Choice Under Interval (and Other) Uncertainty.

[BibT_eX]

[DOI]

Bartlomiej Jacek Kubica

Proceedings of the Parallel Processing and Applied Mathematics, 2019

Probability-Based Approach Explains (and Even Improves) Heuristic Formulas of Defuzzification.

[BibT_eX]

[DOI]

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2019

Logarithms Are Not Infinity: A Rational Physics-Related Explanation of the Mysterious Statement by Lev Landau.

[BibT_eX]

[DOI]

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".

[BibT_eX]

[DOI]

Proceedings of the Fuzzy Techniques: Theory and Applications, 2019

Why Grade Distribution Is Often Multi-modal: An Uncertainty-Based Explanation.

[BibT_eX]

[DOI]

Proceedings of the Fuzzy Techniques: Theory and Applications, 2019

Can We Improve the Standard Algorithm of Interval Computation by Taking Almost Monotonicity into Account?

[BibT_eX]

[DOI]

Proceedings of the Fuzzy Techniques: Theory and Applications, 2019

High Concentrations Naturally Lead to Fuzzy-Type Interactions and to Gravitational Wave Bursts.

[BibT_eX]

[DOI]

Oscar Galindo

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

In Its Usual Formulation, Fuzzy Computation Is, In General, NP-Hard, But a More Realistic Formulation Can Make It Feasible.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

Between Dog and Wolf: A Continuous Transition from Fuzzy to Probabilistic Estimates.

[BibT_eX]

[DOI]

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) 3-Dimensional.

[BibT_eX]

[DOI]

Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, 2019

Why Quantum (Wave Probability) Models Are a Good Description of Many Non-quantum Complex Systems, and How to Go Beyond Quantum Models.

[BibT_eX]

[DOI]

Proceedings of the Beyond Traditional Probabilistic Methods in Economics, 2019

Blockchains Beyond Bitcoin: Towards Optimal Level of Decentralization in Storing Financial Data.

[BibT_eX]

[DOI]

Proceedings of the Beyond Traditional Probabilistic Methods in Economics, 2019

2018

How to Gauge Accuracy of Processing Big Data: Teaching Machine Learning Techniques to Gauge Their Own Accuracy.

[BibT_eX]

[DOI]

Proceedings of the Predictive Econometrics and Big Data, 2018

How Better Are Predictive Models: Analysis on the Practically Important Example of Robust Interval Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the Predictive Econometrics and Big Data, 2018

Current Quantum Cryptography Algorithm Is Optimal: A Proof.

[BibT_eX]

[DOI]

Oscar Galindo

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Do It Today or Do It Tomorrow: Empirical Non-exponential Discounting Explained by Symmetry Ideas.

[BibT_eX]

[DOI]

Kittawit Autchariyapanitkul

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.

[BibT_eX]

[DOI]

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2018

Why Triangular Membership Functions are Often Efficient in F-transform Applications: Relation to Probabilistic and Interval Uncertainty and to Haar Wavelets.

[BibT_eX]

[DOI]

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018

How to Detect Crisp Sets Based on Subsethood Ordering of Normalized Fuzzy Sets? How to Detect Type-1 Sets Based on Subsethood Ordering of Normalized Interval-Valued Fuzzy Sets?

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

Why Student Distributions? Why Matern's Covariance Model? A Symmetry-Based Explanation.

[BibT_eX]

[DOI]

Proceedings of the Econometrics for Financial Applications, 2018

Maximum Entropy Beyond Selecting Probability Distributions.

[BibT_eX]

[DOI]

Thach Ngoc Nguyen

Proceedings of the Econometrics for Financial Applications, 2018

An Ancient Bankruptcy Solution Makes Economic Sense.

[BibT_eX]

[DOI]

Proceedings of the Econometrics for Financial Applications, 2018

Efficient Parameter-Estimating Algorithms for Symmetry-Motivated Models: Econometrics and Beyond.

[BibT_eX]

[DOI]

Anh Hoang Ly

Proceedings of the Econometrics for Financial Applications, 2018

How Interval and Fuzzy Techniques Can Improve Teaching - Processing Educational Data: From Traditional Statistical Techniques to an Appropriate Combination of Probabilistic, Interval, and Fuzzy Approaches

[BibT_eX]

[DOI]

Studies in Computational Intelligence 750, Springer, ISBN: 978-3-662-55993-2, 2018

2017

Robustness as a Criterion for Selecting a Probability Distribution Under Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the Robustness in Econometrics, 2017

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Robustness in Econometrics, 2017

How to Gauge the Accuracy of Fuzzy Control Recommendations: A Simple Idea.

[BibT_eX]

[DOI]

Proceedings of the Fuzzy Logic in Intelligent System Design, 2017

Which material design is possible under additive manufacturing: A fuzzy approach.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Kittawit Autchariyapanitkul

Proceedings of the Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 2017

It is possible to determine exact fuzzy values based on an ordering of interval-valued or set-valued fuzzy degrees.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016

Why Some Families of Probability Distributions Are Practically Efficient: A Symmetry-Based Explanation.

[BibT_eX]

[DOI]

Proceedings of the Causal Inference in Econometrics, 2016

Invariance Explains Multiplicative and Exponential Skedactic Functions.

[BibT_eX]

[DOI]

Proceedings of the Causal Inference in Econometrics, 2016

Across-the-Board Spending Cuts Are Very Inefficient: A Proof.

[BibT_eX]

[DOI]

Proceedings of the Causal Inference in Econometrics, 2016

Bilingual Students Benefit from Using Both Languages.

[BibT_eX]

[DOI]

Julian Viera

Shahnaz N. Shahbazova

Proceedings of the Recent Developments and the New Direction in Soft-Computing Foundations and Applications, 2016

Beyond Traditional Applications of Fuzzy Techniques: Main Idea and Case Studies.

[BibT_eX]

[DOI]

Proceedings of the Recent Developments and the New Direction in Soft-Computing Foundations and Applications, 2016

Chemical Kinetics in Situations Intermediate Between Usual and High Concentrations: Fuzzy-Motivated Derivation of the Formulas.

[BibT_eX]

[DOI]

Laécio Carvalho de Barros

Proceedings of the Recent Developments and the New Direction in Soft-Computing Foundations and Applications, 2016

How to Predict Nesting Sites and How to Measure Shoreline Erosion: Fuzzy and Probabilistic Techniques for Environment-Related Spatial Data Processing.

[BibT_eX]

[DOI]

Proceedings of the Recent Developments and the New Direction in Soft-Computing Foundations and Applications, 2016

How to transform partial order between degrees into numerical values.

[BibT_eX]

[DOI]

Martha Osegueda Escobar

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Fuzzy-inspired hierarchical version of the von Neumann-Morgenstern solutions as a natural way to resolve collaboration-related conflicts.

[BibT_eX]

[DOI]

Martha Osegueda Escobar

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

How resilient modulus of a pavement depends on moisture level: Towards a theoretical justification of a practically important empirical formula.

[BibT_eX]

[DOI]

Pedro Barragan Olague

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.

[BibT_eX]

[DOI]

Martha Osegueda Escobar

Kimberly Kato

Proceedings of the 2016 Annual Conference of the North American Fuzzy Information Processing Society, 2016

Need for Most Accurate Discrete Approximations Explains Effectiveness of Statistical Methods Based on Heavy-Tailed Distributions.

[BibT_eX]

[DOI]

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2016

How to Select an Appropriate Similarity Measure: Towards a Symmetry-Based Approach.

[BibT_eX]

[DOI]

Ildar Z. Batyrshin

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2016

Membership functions representing a number vs. representing a set: Proof of unique reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Fuzzy techniques provide a theoretical explanation for the heuristic ℓp-regularization of signals and images.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Combining Interval and Probabilistic Uncertainty: What Is Computable?

[BibT_eX]

[DOI]

Andrzej Pownuk

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Renata Reiser

Proceedings of the Towards the Future of Fuzzy Logic, 2015

50 Years of fuzzy: from discrete to continuous to - Where?

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2015

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

[BibT_eX]

[DOI]

J. Adv. Comput. Intell. Intell. Informatics, 2015

Why are Vine Copulas so Successful in Econometrics?

[BibT_eX]

[DOI]

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2015

In Engineering Classes, How to Assign Partial Credit: From Current Subjective Practice to Exact Formulas (Based on Computational Intelligence Ideas).

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

From 1-D to 2-D fuzzy: A proof that interval-valued and complex-valued are the only distributive options.

[BibT_eX]

[DOI]

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

Coming up with a good question is not easy: A proof.

[BibT_eX]

[DOI]

Proceedings of the 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015

Simple linear interpolation explains all usual choices in fuzzy techniques: Membership functions, t-norms, t-conorms, and defuzzification.

[BibT_eX]

[DOI]

Shahnaz N. Shahbazova

Proceedings of the 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015

Model reduction: Why it is possible and how it can potentially help to control swarms of Unmanned Arial Vehicles (UAVs).

[BibT_eX]

[DOI]

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

Every interval-valued metric can be naturally interpreted in fuzzy terms.

[BibT_eX]

[DOI]

Ildar Z. Batyrshin

Proceedings of the 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015

Why ARMAX-GARCH Linear Models Successfully Describe Complex Nonlinear Phenomena: A Possible Explanation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2015

Which bio-diversity indices are most adequate.

[BibT_eX]

[DOI]

Craig E. Tweedie

Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

How to take into account a student's degree of certainty when evaluating the test results.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Frontiers in Education Conference, 2015

How success in a task depends on the skills level: two uncertainty-based justifications of a semi-heuristic Rasch model.

[BibT_eX]

Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

Adding possibilistic knowledge to probabilities makes many problems algorithmically decidable.

[BibT_eX]

Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

2014

Why Ellipsoid Constraints, Ellipsoid Clusters, and Riemannian Space-Time: Dvoretzky's Theorem Revisited.

[BibT_eX]

[DOI]

Proceedings of the Constraint Programming and Decision Making, 2014

Adding Constraints - A (Seemingly Counterintuitive but) Useful Heuristic in Solving Difficult Problems.

[BibT_eX]

[DOI]

Proceedings of the Constraint Programming and Decision Making, 2014

Why Tensors?

[BibT_eX]

[DOI]

Proceedings of the Constraint Programming and Decision Making, 2014

Simplicity Is Worse Than Theft: A Constraint-Based Explanation of a Seemingly Counter-Intuitive Russian Saying.

[BibT_eX]

[DOI]

Proceedings of the Constraint Programming and Decision Making, 2014

Algorithmics of Checking whether a Mapping Is Injective, Surjective, and/or Bijective.

[BibT_eX]

[DOI]

Eduardo Cabral Balreira

Proceedings of the Constraint Programming and Decision Making, 2014

Standardised tests: uncertainty analysis clarifies the controversy.

[BibT_eX]

[DOI]

Int. J. Knowl. Eng. Soft Data Paradigms, 2014

r-bounded fuzzy measures are equivalent to ε-possibility measures.

[BibT_eX]

[DOI]

Karen Richart

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Towards the Possibility of Objective Interval Uncertainty.

[BibT_eX]

[DOI]

Luc Longpré

Proceedings of the Scientific Computing, Computer Arithmetic, and Validated Numerics, 2014

"And"- and "Or"-operations for "double", "triple", etc. fuzzy sets.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

Approximate nature of traditional fuzzy methodology naturally leads to complex-valued fuzzy degrees.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

2013

Fuzzy Sets Can Be Interpreted as Limits of Crisp Sets, and This Can Help to Fuzzify Crisp Notions.

[BibT_eX]

[DOI]

Proceedings of the Advance Trends in Soft Computing, 2013

Towards Discrete Interval, Set, and Fuzzy Computations.

[BibT_eX]

[DOI]

Enrique Portillo

Proceedings of the IEEE International Conference on Systems, 2013

A Symmetry-Based Approach to Selecting Membership Functions and Its Relation to Chemical Kinetics.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2013

Computing with Words: Towards a New Tuple-Based Formalization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2013

Data anonymization that leads to the most accurate estimates of statistical characteristics: Fuzzy-motivated approach.

[BibT_eX]

[DOI]

Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

Back to the future: Advanced control techniques justify-on a new level-traditional education practices.

[BibT_eX]

[DOI]

Sergio D. Cabrera

Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

Why complex-valued fuzzy? Why complex values in general? A computational explanation.

[BibT_eX]

[DOI]

Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

2012

Can We Learn Algorithms from People Who Compute Fast: An Indirect Analysis in the Presence of Fuzzy Descriptions.

[BibT_eX]

[DOI]

Proceedings of the Soft Computing in Humanities and Social Sciences, 2012

How to divide students into groups so as to optimize learning: Towards a solution to a pedagogy-related optimization problem.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Why bernstein polynomials are better: Fuzzy-inspired justification.

[BibT_eX]

[DOI]

Jaime Nava

Proceedings of the FUZZ-IEEE 2012, 2012

How to make sure that students spend enough time studying: Fuzzy-motivated optimization approach to selecting a grading policy.

[BibT_eX]

[DOI]

Proceedings of the FUZZ-IEEE 2012, 2012

2011

How to Reconstruct the System's Dynamics by Differentiating Interval-Valued and Set-Valued Functions.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 2011

2010

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

[BibT_eX]

[DOI]

Paulo Pinheiro da Silva

Aaron Velasco

J. Adv. Comput. Intell. Intell. Informatics, 2010

Towards more detailed value-added teacher assessments.

[BibT_eX]

[DOI]

Proceedings of the FUZZ-IEEE 2010, 2010

Towards a more natural proof of metrization theorem for space-times.

[BibT_eX]

[DOI]

Proceedings of the FUZZ-IEEE 2010, 2010

Why polynomial formulas in soft computing, decision making, etc.?

[BibT_eX]

[DOI]

Proceedings of the FUZZ-IEEE 2010, 2010

2009

Intermediate Degrees Are Needed for the World to Be Cognizable: Towards a New Justification for Fuzzy Logic Ideas.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Computational Intelligence, 2009

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

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2009

Trade-off between sample size and accuracy: Case of measurements under interval uncertainty.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2009

Egyptian Fractions Revisited.

[BibT_eX]

[DOI]

Informatics Educ., 2009

Intelligence techniques are needed to further enhance the advantage of groups with diversity in problem solving.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE Workshop on Hybrid Intelligent Models and Applications, 2009

Uncertainty Can Decrease Privacy: an observation.

[BibT_eX]

[DOI]

Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

Can We Learn Algorithms from People Who Compute Fast: an indirect analysis in the presence of fuzzy descriptions.

[BibT_eX]

[DOI]

Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

Early Start Can Inhibit Learning: Towards A New Explanation.

[BibT_eX]

[DOI]

Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

2008

Trade-Off between Sample Size and Accuracy: Case of Dynamic Measurements under Interval Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the Interval / Probabilistic Uncertainty and Non-Classical Logics, 2008

Computational complexity of determining which statements about causality hold in different space-time models.

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2008

How to reconcile physical theories with the idea of free will: From analysis of a simple model to interval and fuzzy approaches.

[BibT_eX]

[DOI]

Julio C. Urenda

Proceedings of the FUZZ-IEEE 2008, 2008

Selecting the most representative sample is NP-hard: Need for expert (fuzzy) knowledge.

[BibT_eX]

[DOI]

J. Esteban Gamez

François Modave

Proceedings of the FUZZ-IEEE 2008, 2008

2007

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

[BibT_eX]

[DOI]

Reliab. Comput., 2007

Pre-Service Teacher Training in Mathematics Using Tablet PC Technology.

[BibT_eX]

[DOI]

Ana Medina-Rusch

Vera Ioudina

Informatics Educ., 2007

2006

Rate distortion optimal bit allocation methods for volumetric data using JPEG 2000.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2006

Dealing with Imprecise Probabilities: Interval-Related Talks at ISIPTA'05.

[BibT_eX]

[DOI]

Daniel Berleant

Fábio Gagliardi Cozman

Reliab. Comput., 2006

2005

Computing the cube of an interval matrix is NP-Hard.

[BibT_eX]

[DOI]

Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

To properly reflect physicists' reasoning about randomness, we also need a maxitive (possibility) measure.

[BibT_eX]

[DOI]

Andrei M. Finkelstein

Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

2004

On the optimal choice of quality metric in image compression: a soft computing approach.

[BibT_eX]

[DOI]

Soft Comput., 2004

Compressing 3D Measurement Data Under Interval Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the Applied Parallel Computing, 2004

MSE Optimal Bit Rate Allocation in the Application of JPEG2000 Part 2 to Meteorological Data.

[BibT_eX]

[DOI]

Proceedings of the 2004 Data Compression Conference (DCC 2004), 2004

2003

Interval + Communications = Walsh: For signal multiplexing under interval uncertainty, Walsh functions are optimal.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2003

Robust Methodology for Characterizing System Response to Damage: Approach Based on Partial Order.

[BibT_eX]

[DOI]

Alexandr V. Kuzminykh

Proceedings of the Large-Scale Scientific Computing, 4th International Conference, 2003

Assessment of KLT and bit-allocation strategies in the application of JPEG 2000 to the battlescale forecast meteorological data.

[BibT_eX]

[DOI]

Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003

2002

On the Optimal Choice of Quality Metric in Image Compression.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE Southwest Symposium on Image Analysis and Interpretation, 2002

Application of Task-Specific Metrics in JPEG2000 ROI Compression.

[BibT_eX]

[DOI]

Sergio D. Cabrera

Proceedings of the 5th IEEE Southwest Symposium on Image Analysis and Interpretation, 2002

2001

Interval Methods in Non-Destructive Testing of Material Structures.

[BibT_eX]

[DOI]

Reliab. Comput., 2001

1999

Only Intervals Preserve the Invertibility of Arithmetic Operations.

[BibT_eX]

[DOI]

Reliab. Comput., 1999

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

[BibT_eX]

[DOI]

Reliab. Comput., 1999

Interval Estimates for Signal Processing: Special Purpose Hardware.

[BibT_eX]

[DOI]

Reliab. Comput., 1999

1998

Intervals in Space-Time: A. D. Alexandrov is 85.

[BibT_eX]

[DOI]

Alexander Levichev

Reliab. Comput., 1998

When Is the Product of Intervals Also an Interval?

[BibT_eX]

[DOI]

Piet G. Vroegindeweij

Reliab. Comput., 1998

Hilbert Problems (Almost) 100 Years Later (From the Viewpoint of Interval Computations).

[BibT_eX]

[DOI]

Reliab. Comput., 1998

Interval + Image = Wavelet: For Image Processing under Interval Uncertainty, Wavelets Are Optimal.

[BibT_eX]

[DOI]

Alejandro E. Brito

Reliab. Comput., 1998

Expanding Queries to Incomplete Databases by Interpolating General Logic Programs.

[BibT_eX]

[DOI]

Chitta Baral

Michael Gelfond

Bernadette Bouchon-Meunier

J. Log. Program., 1998

1997

Fast implementations of fuzzy arithmetic operations using fast Fourier transform (FFT).

[BibT_eX]

[DOI]

Fuzzy Sets Syst., 1997

Fuzzy numbers are the only fuzzy sets that keep invertible operations invertible.

[BibT_eX]

[DOI]

Fuzzy Sets Syst., 1997

1996

Is the success of fuzzy logic really paradoxical?: Toward the actual logic behind expert systems.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 1996

Design of Radix-2 and Radix-4 FFT Processors Using a Modular Architecture Family.

[BibT_eX]

Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 1996

1994

An Application of Logic to Combinatorial Geometry: How Many Tetrahedra are Equidecomposable with a Cube?

[BibT_eX]

[DOI]

Math. Log. Q., 1994

1993

Approximating General Logic Programs.

[BibT_eX]

Chitta Baral

Michael Gelfond