Vladik Kreinovich

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 298

Top Venues

NAFIPS

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

J. Intell. Fuzzy Syst.

FUZZ-IEEE

Publications

Olga Kosheleva, Vladik Kreinovich, Victor L. Timchenko, Yuriy P. Kondratenko
From Fuzzy to Mobile Fuzzy. J. Mobile Multimedia 20 (3) (2024)
Martine Ceberio, Christoph Quirin Lauter, Vladik Kreinovich
Just-in-Accuracy: Mobile Approach to Uncertainty. J. Mobile Multimedia 20 (3) (2024)
Victor L. Timchenko, Yuriy P. Kondratenko, Vladik Kreinovich
Logical Platforms for Mobile Application in Decision Support Systems Based on Color Information Processing. J. Mobile Multimedia 20 (3) (2024)
Salvador Robles Herrera, Verya Monjezi, Vladik Kreinovich, Ashutosh Trivedi, Saeid Tizpaz-Niari
Predicting Fairness of ML Software Configuration. CoRR (2024)
Salvador Robles Herrera, Verya Monjezi, Vladik Kreinovich, Ashutosh Trivedi, Saeid Tizpaz-Niari
Predicting Fairness of ML Software Configurations. PROMISE (2024)
Vladik Kreinovich
Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 32 (1) (2024)
Olga Kosheleva, Vladik Kreinovich, Ahnaf Farhan
Fuzzy Ideas Explain Fechner Law and Help Detect Relation Between Objects in Video. SACI (2024)
Martine Ceberio, Vladik Kreinovich, Olga Kosheleva, Günter Mayer
Complex-Valued Interval Computations are NP-Hard Even for Single Use Expressions. NAFIPS (2023)
Saeid Tizpaz-Niari, Luc Longpré, Olga Kosheleva, Vladik Kreinovich
Fast - Asymptotically Optimal - Methods for Determining the Optimal Number of Features. IUKM (1) (2023)
Victor Timchenko, Yury P. Kondratenko, Vladik Kreinovich
The Architecture of Optical Logical Coloroid with Fuzzy Computing. IntelITSIS (2023)
Barnabás Bede, Vladik Kreinovich, Peter Toth
Equivalence Between 1-D Takagi-Sugeno Fuzzy Systems with Triangular Membership Functions and Neural Networks with ReLU Activation. NAFIPS (2023)
Vladik Kreinovich
Computing at Least One of Two Roots of a Polynomial is, in General, Not Algorithmic. NAFIPS (2023)
Vladik Kreinovich
Theoretical Explanation of Bernstein Polynomials' Efficiency. NAFIPS (2023)
Aaron Velasco, Olga Kosheleva, Vladik Kreinovich
High-Impact Low-Probability Events are Even More Important Than it is Usually Assumed. NAFIPS (2023)
Martine Ceberio, Vladik Kreinovich, Olga Kosheleva, Lev Ginzburg
Faster Algorithms for Estimating the Mean of a Quadratic Expression Under Uncertainty. NAFIPS (2023)
Mehran Mazandarani, Olga Kosheleva, Vladik Kreinovich
Why Fractional Fuzzy. EUSFLAT/AGOP (2023)
Miroslav Svítek, Olga Kosheleva, Vladik Kreinovich
What Do Goedel's Theorem and Arrow's Theorem have in Common: A Possible Answer to Arrow's Question. NAFIPS (2023)
Orsolya Csiszár, Luca Sára Pusztaházi, Lehel Dénes-Fazakas, Michael S. Gashler, Vladik Kreinovich, Gábor Csiszár
Uninorm-like parametric activation functions for human-understandable neural models. Knowl. Based Syst. 260 (2023)
Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
Integrity First, Service Before Self, and Excellence: Core Values of US Air Force Naturally Follow from Decision Theory. NAFIPS (2023)
Hung T. Nguyen, Vladik Kreinovich
Guest Editorial: Uncertainty in Economics and Finance. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 31 (Supplement-2) (2023)
Juan A. Lopez, Vladik Kreinovich
Towards Decision Making Under Interval Uncertainty. NAFIPS (2023)
Orsolya Csiszár, Gábor Csiszár, Olga Kosheleva, Martine Ceberio, Vladik Kreinovich
Why Fuzzy Control Is Often More Robust (and Smoother): A Theoretical Explanation. SSCI (2023)
Cliff A. Joslyn, Andrés Ortiz-Muñoz, Edgar Daniel Rodriguez Velasquez, Olga Kosheleva, Vladik Kreinovich
Causality: Hypergraphs, Matter of Degree, Foundations of Cosmology. NAFIPS (2023)
Sofia Holguin, Vladik Kreinovich
Conflict Situations are Inevitable When There are Many Participants: A Proof Based on the Analysis of Aumann-Shapley Value. NAFIPS (2023)
Hung T. Nguyen, Vladik Kreinovich
Why Linear (and Piecewise Linear) Models Often Successfully Describe Complex Non-Linear Economic and Financial Phenomena: A~Fuzzy-Based Explanation. TFSS 2 (1) (2023)
Vladik Kreinovich
Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 31 (5) (2023)
Jieqiong Zhao, Olga Kosheleva, Vladik Kreinovich
People Prefer More Information About Uncertainty, but Perform Worse When Given This Information: An Explanation of the Paradoxical Phenomenon. NAFIPS (2023)
Lehel Dénes-Fazakas, László Szilágyi, György Eigner, Olga Kosheleva, Martine Ceberio, Vladik Kreinovich
Which Activation Function Works Best for Training Artificial Pancreas: Empirical Fact and Its Theoretical Explanation. SSCI (2023)
Palvi Aggarwal, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
How People Make Decisions Based on Prior Experience: Formulas of Instance-Based Learning Theory (IBLT) Follow from Scale Invariance. NAFIPS (2023)
Vladik Kreinovich
Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 31 (2) (2023)
Victor Timchenko, Yuriy P. Kondratenko, Vladik Kreinovich
Logical Decision Networks Based on the Optical Coloroids. IDAACS (2023)
Vladik Kreinovich
Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 31 (6) (2023)
Christian Servin, Aaron Velasco, Edgar Daniel Rodriguez Velasquez, Vladik Kreinovich
Everything is a Matter of Degree: The Main Idea Behind Fuzzy Logic is Useful in Geosciences and in Authorship. NAFIPS (2023)
Edgar Daniel Rodriguez Velasquez, Aaron Velasco, Olga Kosheleva, Vladik Kreinovich
Why Inverse Layers in Pavement? Why Zipper Fracking? Why Interleaving in Education? a General Explanation. IUKM (1) (2023)
Victor Timchenko, Yury P. Kondratenko, Vladik Kreinovich
Interval-Valued and Set-Valued Extensions of Discrete Fuzzy Logics, Belnap Logic, and Color Optical Computing. EUSFLAT/AGOP (2023)
Vladik Kreinovich
Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 31 (4) (2023)
Olga Kosheleva, Vladik Kreinovich
Commonsense-Continuous Dynamical Systems - Stationary States, Prediction, and Reconstruction of the Past: Fuzzy-Based Analysis. NAFIPS (2022)
Sofia Holguin, Javier Viaña, Kelly Cohen, Anca L. Ralescu, Vladik Kreinovich
Why Sine Membership Functions. NAFIPS (2022)
Vladik Kreinovich
Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 30 (6) (2022)
Salvador Robles Herrera, Martine Ceberio, Vladik Kreinovich
When is deep learning better and when is shallow learning better: qualitative analysis. Int. J. Parallel Emergent Distributed Syst. 37 (5) (2022)
Victor Timchenko, Yuriy P. Kondratenko, Vladik Kreinovich
Decision Support System for the Safety of Ship Navigation Based on Optical Color Logic Gates. IT&I (2022)
Vladik Kreinovich
Min and Max are the Only Continuous $\&$- and $\vee$-Operations for Finite Logics. TFSS 1 (1) (2022)
Javier Viaña, Stephan Ralescu, Vladik Kreinovich, Anca L. Ralescu, Kelly Cohen
Single Hidden Layer CEFYDRA: Cluster-first Explainable FuzzY-based Deep self-Reorganizing Algorithm. NAFIPS (2022)
Ander Gray, Scott Ferson, Vladik Kreinovich, Edoardo Patelli
Distribution-free risk analysis. Int. J. Approx. Reason. 146 (2022)
Vladik Kreinovich
How to Describe Variety of a Probability Distribution: A Possible Answer to Yager's Question. IS (2022)
Olga Kosheleva, Vladik Kreinovich
Invariance Explains Empirical Success of Many Intelligent Techniques. IS (2022)
Orsolya Csiszár, Luca Sára Pusztaházi, Lehel Dénes-Fazakas, Michael S. Gashler, Vladik Kreinovich, Gábor Csiszár
Uninorm-like parametric activation functions for human-understandable neural models. CoRR (2022)
Olga Kosheleva, Vladik Kreinovich
Need for Techniques Intermediate Between Interval and Probabilistic Ones. PPAM (2) (2022)
Ildar Z. Batyrshin, Fernando Gomide, Vladik Kreinovich, Shahnaz N. Shahbazova
Soft computing and advances in intelligent systems. J. Intell. Fuzzy Syst. 43 (6) (2022)
Francisco Zapata, Eric Smith, Olga Kosheleva, Vladik Kreinovich
Seemingly Counter-Intuitive Features of Good-to-Great Companies Actually Make Perfect Sense: Possible Algorithmics-Based Explanations. IS (2022)
Vladik Kreinovich, Oscar Galindo, Olga Kosheleva
Many Known Quantum Algorithms Are Optimal: Symmetry-Based Proofs. Int. J. Comput. 21 (4) (2022)
Olga Kosheleva, Vladik Kreinovich
Why People Tend to Overestimate Joint Probabilities. IPMU (1) (2022)
Laxman Bokati, Olga Kosheleva, Vladik Kreinovich
How to Elicit Complex-Valued Fuzzy Degrees. NAFIPS (2022)
Evgeny Dantsin, Vladik Kreinovich, Alexander Wolpert
An AlphaZero-Inspired Approach to Solving Search Problems. CoRR (2022)
Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich
Why 1/(1+d) Is an Effective Distance-Based Similarity Measure: Two Explanations. IS (2022)
Edgar Daniel Rodriguez Velasquez, Olga Kosheleva, Vladik Kreinovich
Invariance-Based Approach Explains Empirical Formulas from Pavement Engineering to Deep Learning. Adv. Artif. Intell. Mach. Learn. 2 (3) (2022)
Javier Viaña, Stephan Ralescu, Vladik Kreinovich, Anca L. Ralescu, Kelly Cohen
Multiple Hidden Layered CEFYDRA: Cluster-First Explainable Fuzzy-Based Deep Self-reorganizing Algorithm. NAFIPS (2022)
Nancy Solis García, José Guadalupe Flores Muñiz, Vladik Kreinovich, Nataliya I. Kalashnykova, Viacheslav Kalashnikov
Consistent Conjectural Variations Equilibrium for a Financial Model. J. Optim. Theory Appl. 194 (3) (2022)
Chon Van Le, Olga Kosheleva, Vladik Kreinovich
Why Gaussian Copulas Are Ubiquitous in Economics: Fuzzy-Related Explanation. NAFIPS (2022)
Miroslav Svítek, Vladik Kreinovich
Why Ideas First Appear in Informal Form? Why It Is Very Difficult to Know Yourself? Fuzzy-Based Explanation. NAFIPS (2022)
Sean R. Aguilar, Vladik Kreinovich
Why Best-Worst Method Works Well. IS (2022)
Vladik Kreinovich
Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 30 (2) (2022)
Laxman Bokati, Vladik Kreinovich
Why Smaller-Size 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. IS (2022)
Jonatan M. Contreras, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
Why neural networks in the first place: a theoretical explanation. J. Intell. Fuzzy Syst. 43 (6) (2022)
Javier Viaña, Stephan Ralescu, Kelly Cohen, Vladik Kreinovich, Anca L. Ralescu
Why Cauchy Membership Functions: Reliability. Adv. Artif. Intell. Mach. Learn. 2 (2) (2022)
Javier Viaña, Stephan Ralescu, Vladik Kreinovich, Anca L. Ralescu, Kelly Cohen
Initialization and Plasticity of CEFYDRA: Cluster-first Explainable FuzzY-based Deep self-Reorganizing Algorithm. NAFIPS (2022)
Solymar Ayala Cortez, Laxman Bokati, Aaron Velasco, Vladik Kreinovich
Why Daubechies wavelets are so successful. J. Intell. Fuzzy Syst. 43 (6) (2022)
Vladik Kreinovich, Olga Kosheleva
How to Take All Available Information into Account in Fuzzy Decision Making: Beyond Traditional "And" - and "Or" - Operations. J. Multiple Valued Log. Soft Comput. 39 (5-6) (2022)
Hung T. Nguyen, Olga Kosheleva, Vladik Kreinovich
Data Processing under Fuzzy Uncertainty: Towards More Efficient Algorithms. FUZZ-IEEE (2022)
Vladik Kreinovich
Ordered Weighted Averaging (OWA), Decision Making under Uncertainty, and Deep Learning: How Is This All Related? Inf. 13 (2) (2022)
Laxman Bokati, Vladik Kreinovich
Why Exponential Almon Lag Works Well in Econometrics: An Invariance-Based Explanation. IS (2022)
Vladik Kreinovich
, Cambridge University Press, Cambridge, UK, 2021. J. Intell. Fuzzy Syst. 41 (1) (2021)
Olga Kosheleva, Vladik Kreinovich
Each Realistic Continuous Functional Dependence Implies a Relation Between Some Variables: A Theoretical Explanation of a Fuzzy-Related Empirical Phenomenon. NAFIPS (2021)
Vladik Kreinovich
Springer, Cham, Switzerland, 2018. J. Intell. Fuzzy Syst. 40 (3) (2021)
Christian Servin, Olga Kosheleva, Vladik Kreinovich
What Teachers Can Learn from Machine Learning. NAFIPS (2021)
Kelly Cohen, Laxman Bokati, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
Why Fuzzy Techniques in Explainable AI? Which Fuzzy Techniques in Explainable AI? NAFIPS (2021)
Christian Servin, Olga Kosheleva, Vladik Kreinovich
, Stenhouse Publishers, Portsmouth, New Hampshire, 2020. J. Intell. Fuzzy Syst. 40 (2) (2021)
Vladik Kreinovich
Springer, Cham, Switzerland, 2018. J. Intell. Fuzzy Syst. 40 (5) (2021)
Olga Kosheleva, Vladik Kreinovich
Penguin Press, New York, 2020. J. Intell. Fuzzy Syst. 40 (5) (2021)
Olga Kosheleva, Vladik Kreinovich
, Springer, Cham, Switzerland, 2020. J. Intell. Fuzzy Syst. 40 (5) (2021)
Edgar Daniel Rodriguez Velasquez, Vladik Kreinovich, Olga Kosheleva
Invariance-based approach: general methods and pavement engineering case study. Int. J. Gen. Syst. 50 (6) (2021)
Vladik Kreinovich
. J. Intell. Fuzzy Syst. 40 (1) (2021)
Jonatan M. Contreras, Martine Ceberio, Vladik Kreinovich
Why Dilated Convolutional Neural Networks: A Proof of Their Optimality. Entropy 23 (6) (2021)
Vladik Kreinovich
, Springer, Cha... J. Intell. Fuzzy Syst. 41 (1) (2021)
Javier Viaña, Stephan Ralescu, Kelly Cohen, Vladik Kreinovich, Anca L. Ralescu
Why Cauchy Membership Functions: Efficiency. Adv. Artif. Intell. Mach. Learn. 1 (1) (2021)
Vladik Kreinovich
, IEEE Press and Wiley, Hoboken, New Jersey, 2018. J. Intell. Fuzzy Syst. 40 (2) (2021)
Olga Kosheleva, Vladik Kreinovich
(4th edition) CRC Press, Taylor & Francis Book, Boca Raton, Florida, 2019. J. Intell. Fuzzy Syst. 40 (1) (2021)
Ander Gray, Scott Ferson, Olga Kosheleva, Vladik Kreinovich
While, In General, Uncertainty Quantification (UQ) Is NP-Hard, Many Practical UQ Problems Can Be Made Feasible. SSCI (2021)
Juan Carlos Figueroa García, Vladik Kreinovich
How Accurate Are Fuzzy Control Recommendations: Interval-Valued Case. Adv. Artif. Intell. Mach. Learn. 1 (1) (2021)
Olga Kosheleva, Vladik Kreinovich
A Natural Formalization of Changing-One's-Mind Leads to Square Root of "Not" and to Complex-Valued Fuzzy Logic. NAFIPS (2021)
Hung T. Nguyen, Vladik Kreinovich
Special issue on soft computing in economic application. Soft Comput. 25 (12) (2021)
Laxman Bokati, Olga Kosheleva, Vladik Kreinovich
How Much for a Set: General Case of Decision Making Under Set-Valued Uncertainty. NAFIPS (2021)
Michael Beer, Olga Kosheleva, Vladik Kreinovich
Uncertainty: Ideas Behind Neural Networks Lead Us Beyond KL- Decomposition and Interval Fields. SSCI (2021)
Julio C. Urenda, Christian Servin, Olga Kosheleva, Vladik Kreinovich
Mexican Folk Arithmetic Algorithm Makes Perfect Sense. NAFIPS (2021)
Olga Kosheleva, Vladik Kreinovich
, Farrar, Straus, and Giroux, New York, 2020. J. Intell. Fuzzy Syst. 40 (1) (2021)
Vladik Kreinovich
Springer, Cham, Switzerland, 2021. J. Intell. Fuzzy Syst. 40 (3) (2021)
Vladik Kreinovich, Olga Kosheleva
Limit Theorems as Blessing of Dimensionality: Neural-Oriented Overview. Entropy 23 (5) (2021)
Francisco Zapata, Olga Kosheleva, Vladik Kreinovich
Fuzzy Logic Leads to a More Adequate Way of Processing Likert-Scale Values: Case Study of Burnout. NAFIPS (2021)
Vladik Kreinovich
, Viking, New York, 2021. J. Intell. Fuzzy Syst. 41 (1) (2021)
Ildar Z. Batyrshin, Nailya I. Kubysheva, Venera Bayrasheva, Olga Kosheleva, Vladik Kreinovich
Negations of Probability Distributions: A Survey. Computación y Sistemas 25 (4) (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Vladik Kreinovich