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ORCIDVladik Kreinovich
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- affiliation: University of Texas at El Paso, Department of Computer Science
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2020 – today
- 2023
[b6]Vladik Kreinovich, Graçaliz Pereira Dimuro
, Antônio Carlos da Rocha Costa:
From Intervals to -? - Towards a General Description of Validated Uncertainty. Studies in Computational Intelligence 1041, Springer 2023, ISBN 978-3-031-20568-2, pp. 1-116- [j426]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: 110095 (2023) - [c275]Victor Timchenko, Yury P. Kondratenko, Vladik Kreinovich:
The Architecture of Optical Logical Coloroid with Fuzzy Computing. IntelITSIS 2023: 638-648 - [p101]Luc Longpré, Olga Kosheleva, Vladik Kreinovich:
Baudelaire's Ideas of Vagueness and Uniqueness in Art: Algorithm-Based Explanations. Decision Making Under Uncertainty and Constraints 2023: 3-9 - [p100]Olga Kosheleva, Vladik Kreinovich:
Selfish Gene Theory Explains Oedipus Complex. Decision Making Under Uncertainty and Constraints 2023: 13-16 - [p99]Olga Kosheleva, Vladik Kreinovich:
How to Teach Advanced Highly Motivated Students: Teaching Strategy of Iosif Yakovlevich Verebeichik. Decision Making Under Uncertainty and Constraints 2023: 19-24 - [p98]Christian Servin, Olga Kosheleva, Vladik Kreinovich:
Why 70/100 Is Satisfactory? Why Five Letter Grades? Why Other Academic Conventions? Decision Making Under Uncertainty and Constraints 2023: 25-32 - [p97]Christian Servin, Olga Kosheleva, Vladik Kreinovich:
Shall We Ignore All Intermediate Grades? Decision Making Under Uncertainty and Constraints 2023: 33-38 - [p96]Olga Kosheleva, Vladik Kreinovich:
Why ∞ is a Reasonable Symbol for Infinity. Decision Making Under Uncertainty and Constraints 2023: 39-41 - [p95]Olga Kosheleva, Vladik Kreinovich:
What Is 1/0 from the Practical Viewpoint: A Pedagogical Note. Decision Making Under Uncertainty and Constraints 2023: 43-47 - [p94]Sean R. Aguilar, Olga Kosheleva, Vladik Kreinovich:
Why Base-20, Base-40, and Base-60 Number Systems? Decision Making Under Uncertainty and Constraints 2023: 63-67 - [p93]Olga Kosheleva, Vladik Kreinovich:
Why Chomsky Normal Form: A Pedagogical Note. Decision Making Under Uncertainty and Constraints 2023: 69-73 - [p92]Martine Ceberio, Christian Servin, Olga Kosheleva, Vladik Kreinovich:
How to Best Write Research Papers: Basic English? Sophisticated English? Decision Making Under Uncertainty and Constraints 2023: 75-80 - [p91]Mariana Benítez, Jeffrey Weidner, Vladik Kreinovich:
How to Select Typical Objects. Decision Making Under Uncertainty and Constraints 2023: 83-87 - [p90]Julio C. Urenda, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich:
Why Homogeneous Membranes Lead to Optimal Water Desalination: A Possible Explanation. Decision Making Under Uncertainty and Constraints 2023: 89-92 - [p89]Hector Reyes, Dillon Trinh, Vladik Kreinovich:
Fault Detection in a Smart Electric Grid: Geometric Analysis. Decision Making Under Uncertainty and Constraints 2023: 93-99 - [p88]Daniela Flores, Olga Kosheleva, Vladik Kreinovich:
Why Geological Regions? Decision Making Under Uncertainty and Constraints 2023: 103-108 - [p87]Daniel Cruz, Ricardo V. Godoy, Vladik Kreinovich:
Why, in Deep Learning, Non-smooth Activation Function Works Better Than Smooth Ones. Decision Making Under Uncertainty and Constraints 2023: 111-115 - [p86]Sofia Holguin, Vladik Kreinovich:
Why Residual Neural Networks. Decision Making Under Uncertainty and Constraints 2023: 117-120 - [p85]Olga Kosheleva, Vladik Kreinovich:
Why Semi-supervised Learning Makes Sense: A Pedagogical Note. Decision Making Under Uncertainty and Constraints 2023: 121-124 - [p84]Ricardo Mendez, Osagumwenro Osaretin, Vladik Kreinovich:
How to Gauge the Quality of a Multi-class Classification When Ground Truth Is Known with Uncertainty. Decision Making Under Uncertainty and Constraints 2023: 125-128 - [p83]Evgeny Dantsin, Vladik Kreinovich, Alexander Wolpert:
An AlphaZero-Inspired Approach to Solving Search Problems. Decision Making Under Uncertainty and Constraints 2023: 129-138 - [p82]Julio C. Urenda, Sean R. Aguilar, Olga Kosheleva, Vladik Kreinovich:
Fuzzy Techniques, Laplace Indeterminacy Principle, and Maximum Entropy Approach Explain Lindy Effect and Help Avoid Meaningless Infinities in Physics. Decision Making Under Uncertainty and Constraints 2023: 141-152 - [p81]Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich:
Dimension Compactification Naturally Follows from First Principles. Decision Making Under Uncertainty and Constraints 2023: 153-157 - [p80]Lidice Castro, Vladik Kreinovich:
Is Our World Becoming Less Quantum? Decision Making Under Uncertainty and Constraints 2023: 159-163 - [p79]Miroslav Svítek, Olga Kosheleva, Vladik Kreinovich:
As Complexity Rises, Meaningful Statements Lose Precision - But Why? Decision Making Under Uncertainty and Constraints 2023: 167-171 - [p78]David Amparan, Vladik Kreinovich:
Why People Overestimate Small Probabilities? Decision Making Under Uncertainty and Constraints 2023: 173-176 - [p77]Joshua Zamora, Vladik Kreinovich:
Why Ovals in Eliciting Intervals? Decision Making Under Uncertainty and Constraints 2023: 177-179 - [p76]R. Noah Padilla, Vladik Kreinovich:
Why Moments (and Generalized Moments) Are Used in Statistics and Why Expected Utility Is Used in Decision Making: A Possible Explanation. Decision Making Under Uncertainty and Constraints 2023: 181-187 - [p75]Toshiki Kamio, Gavin Baechle, Vladik Kreinovich:
Decision Making Under Uncertainty: Cases When We Only Know an Upper Bound or a Lower Bound. Decision Making Under Uncertainty and Constraints 2023: 189-192 - [p74]Christopher Reyes, Vladik Kreinovich:
Why Do People Become Addicted: Towards a Theoretical Explanation for Eyal's Experiment-Based Hook Model. Decision Making Under Uncertainty and Constraints 2023: 193-199 - [p73]Leonardo Orea Amador, Vladik Kreinovich:
Why Decimal System? Why Communities with More Than 150 Folks Tend to Split? New Consequences of the Seven Plus Minus Two Law. Decision Making Under Uncertainty and Constraints 2023: 201-205 - [p72]Olga Kosheleva, Vladik Kreinovich:
Lev Landau's Marital Advice Explained. Decision Making Under Uncertainty and Constraints 2023: 207-210 - [p71]Ricardo Alvarez, Yamel Hernandez, Vladik Kreinovich:
Why Too Much Interaction Between Different Parts of the Brain Leads To Unhappiness. Decision Making Under Uncertainty and Constraints 2023: 211-214 - [p70]Olga Kosheleva, Vladik Kreinovich:
Gödel's Proof of Existence of God Revisited. Decision Making Under Uncertainty and Constraints 2023: 217-221 - [p69]Olga Kosheleva, Vladik Kreinovich:
Blessings, God, Sacrifices: Possible Rational Explanations of Biblical Ideas. Decision Making Under Uncertainty and Constraints 2023: 223-229 - [p68]Salvador Robles Herrera, Martine Ceberio, Vladik Kreinovich:
Why Model Order Reduction. Decision Making Under Uncertainty and Constraints 2023: 233-237 - [p67]Oscar Galindo, Christopher Ibarra, Vladik Kreinovich, Michael Beer:
Fourier Transform and Other Quadratic Problems Under Interval Uncertainty. Decision Making Under Uncertainty and Constraints 2023: 251-256 - [p66]Javier Tellez, Wenbo Xie, Vladik Kreinovich:
Commonsense "And"-Operations. Decision Making Under Uncertainty and Constraints 2023: 285-288 - [p65]Javier Viaña, Stephan Ralescu, Kelly Cohen, Anca L. Ralescu, Vladik Kreinovich:
Extension to Multidimensional Problems of a Fuzzy-Based Explainable and Noise-Resilient Algorithm. Decision Making Under Uncertainty and Constraints 2023: 289-296 - [p64]Luc Longpré, Olga Kosheleva, Vladik Kreinovich:
Additional Spatial Dimensions Can Help Speed Up Computations. Decision Making Under Uncertainty and Constraints 2023: 297-304 - [e18]Martine Ceberio, Vladik Kreinovich:
Decision Making Under Uncertainty and Constraints - A Why-Book. Springer 2023, ISBN 978-3-031-16414-9 [contents] - 2022
- [b5]Julio C. Urenda, Vladik Kreinovich:
Algebraic Approach to Data Processing - Techniques and Applications. Springer 2022, ISBN 978-3-031-16779-9, pp. 1-242 - [b4]Vladik Kreinovich:
Towards Explainable Fuzzy AI: Concepts, Paradigms, Tools, and Techniques. Studies in Computational Intelligence 1047, Springer 2022, ISBN 978-3-031-09973-1, pp. 1-84 - [j425]Javier Viaña, Stephan Ralescu, Kelly Cohen, Vladik Kreinovich, Anca L. Ralescu:
Why Cauchy Membership Functions: Reliability. Adv. Artif. Intell. Mach. Learn. 2(2) (2022) - [j424]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): 456-468 (2022) - [j423]Ander Gray, Scott Ferson, Vladik Kreinovich, Edoardo Patelli:
Distribution-free risk analysis. Int. J. Approx. Reason. 146: 133-156 (2022) - [j422]Vladik Kreinovich:
Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 30(2): 335-336 (2022) - [j421]Vladik Kreinovich:
Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 30(6): 1089-1090 (2022) - [j420]Vladik Kreinovich:
Ordered Weighted Averaging (OWA), Decision Making under Uncertainty, and Deep Learning: How Is This All Related? Inf. 13(2): 82 (2022) - [j419]Ildar Z. Batyrshin, Fernando Gomide, Vladik Kreinovich, Shahnaz N. Shahbazova:
Soft computing and advances in intelligent systems. J. Intell. Fuzzy Syst. 43(6): 6895-6896 (2022) - [j418]Solymar Ayala Cortez, Laxman Bokati, Aaron Velasco, Vladik Kreinovich:
Why Daubechies wavelets are so successful. J. Intell. Fuzzy Syst. 43(6): 6933-6938 (2022) - [j417]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): 6947-6951 (2022) - [j416]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): 966-987 (2022) - [j415]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): 445-462 (2022) - [j414]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): 589-595 (2022) - [c274]Hung T. Nguyen, Olga Kosheleva, Vladik Kreinovich:
Data Processing under Fuzzy Uncertainty: Towards More Efficient Algorithms. FUZZ-IEEE 2022: 1-7 - [c273]Olga Kosheleva, Vladik Kreinovich:
Why People Tend to Overestimate Joint Probabilities. IPMU (1) 2022: 485-493 - [c272]Sean R. Aguilar, Vladik Kreinovich:
Why Best-Worst Method Works Well. IS 2022: 1-4 - [c271]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: 1-4 - [c270]Laxman Bokati, Vladik Kreinovich:
Why Exponential Almon Lag Works Well in Econometrics: An Invariance-Based Explanation. IS 2022: 1-4 - [c269]Olga Kosheleva, Vladik Kreinovich:
Invariance Explains Empirical Success of Many Intelligent Techniques. IS 2022: 1-8 - [c268]Vladik Kreinovich:
How to Describe Variety of a Probability Distribution: A Possible Answer to Yager's Question. IS 2022: 1-4 - [c267]Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich:
Why 1/(1+d) Is an Effective Distance-Based Similarity Measure: Two Explanations. IS 2022: 1-6 - [c266]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: 1-4 - [c265]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: 42-52 - [c264]Olga Kosheleva, Vladik Kreinovich:
Need for Techniques Intermediate Between Interval and Probabilistic Ones. PPAM (2) 2022: 405-414 - [e17]Julia Rayz, Victor Raskin, Scott Dick, Vladik Kreinovich:
Explainable AI and Other Applications of Fuzzy Techniques - Proceedings of the 2021 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2021, Virtual Event / West Lafayette, IN, USA, June 7-9, 2021. Lecture Notes in Networks and Systems 258, Springer 2022, ISBN 978-3-030-82098-5 [contents] - [e16]Barnabás Bede, Martine Ceberio, Martine De Cock, Vladik Kreinovich:
Fuzzy Information Processing 2020 - Proceedings of the 2020 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2020, Redmond, WA, USA, 20-22 August 2020. Advances in Intelligent Systems and Computing 1337, Springer 2022, ISBN 978-3-030-81560-8 [contents] - [i5]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 abs/2205.06547 (2022) - [i4]Evgeny Dantsin, Vladik Kreinovich, Alexander Wolpert:
An AlphaZero-Inspired Approach to Solving Search Problems. CoRR abs/2207.00919 (2022) - 2021
- [j413]Juan Carlos Figueroa García, Vladik Kreinovich:
How Accurate Are Fuzzy Control Recommendations: Interval-Valued Case. Adv. Artif. Intell. Mach. Learn. 1(1): 12-25 (2021) - [j412]Javier Viaña, Stephan Ralescu, Kelly Cohen, Vladik Kreinovich, Anca L. Ralescu:
Why Cauchy Membership Functions: Efficiency. Adv. Artif. Intell. Mach. Learn. 1(1): 82-89 (2021) - [j411]Ildar Z. Batyrshin, Nailya I. Kubysheva, Venera Bayrasheva, Olga Kosheleva, Vladik Kreinovich:
Negations of Probability Distributions: A Survey. Computación y Sistemas 25(4) (2021) - [j410]Vladik Kreinovich, Olga Kosheleva:
Limit Theorems as Blessing of Dimensionality: Neural-Oriented Overview. Entropy 23(5): 501 (2021) - [j409]Jonatan M. Contreras, Martine Ceberio, Vladik Kreinovich:
Why Dilated Convolutional Neural Networks: A Proof of Their Optimality. Entropy 23(6): 767 (2021) - [j408]Edgar Daniel Rodriguez Velasquez, Vladik Kreinovich, Olga Kosheleva:
Invariance-based approach: general methods and pavement engineering case study. Int. J. Gen. Syst. 50(6): 672-702 (2021) - [j407]Olga Kosheleva, Vladik Kreinovich:
Joseph Henrich, The WEIRDest People in the World: How the West Became Psychologically Peculiar and Particularly Prosperous, Farrar, Straus, and Giroux, New York, 2020. J. Intell. Fuzzy Syst. 40(1): 1713-1714 (2021) - [j406]Olga Kosheleva, Vladik Kreinovich:
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. J. Intell. Fuzzy Syst. 40(1): 1715-1716 (2021) - [j405]Vladik Kreinovich:
Witold Pedrycz An Introduction to Computing with Fuzzy Sets: Analysis, Design, and Applications Springer, Cham, Switzerland, 2021. J. Intell. Fuzzy Syst. 40(1): 1717-1719 (2021) - [j404]Christian Servin, Olga Kosheleva, Vladik Kreinovich:
Amanda Jansen, Rough Draft Math: Revising to Learn, Stenhouse Publishers, Portsmouth, New Hampshire, 2020. J. Intell. Fuzzy Syst. 40(2): 3813-3814 (2021) - [j403]Vladik Kreinovich:
Jozo Dujmović, Soft Computing Evaluation Logic: The LSP Decision Method, and Its Applications, IEEE Press and Wiley, Hoboken, New Jersey, 2018. J. Intell. Fuzzy Syst. 40(2): 3815-3817 (2021) - [j402]Vladik Kreinovich:
Boris Kovalerchuk, Visual Knowledge Discovery and Machine Learning Springer, Cham, Switzerland, 2018. J. Intell. Fuzzy Syst. 40(3): 5753-5755 (2021) - [j401]Vladik Kreinovich:
Fabio Cuzzolin, The Geometry of Uncertainty: The Geometry of Imprecise Probabilities Springer, Cham, Switzerland, 2021. J. Intell. Fuzzy Syst. 40(3): 5757-5758 (2021) - [j400]Vladik Kreinovich:
Olga Kosheleva and Karen Villaverde How Interval and Fuzzy Techniques Can Improve Teaching Springer, Cham, Switzerland, 2018. J. Intell. Fuzzy Syst. 40(5): 10323-10324 (2021) - [j399]Olga Kosheleva, Vladik Kreinovich:
Wolfram Eilenberger Time of the Magicians: Wittgenstein, Benjamin, Cassirer, Heidegger, and The Decade that Reinvented Philosophy Penguin Press, New York, 2020. J. Intell. Fuzzy Syst. 40(5): 10325-10327 (2021) - [j398]Olga Kosheleva, Vladik Kreinovich:
Djuro G. Zrilic Functional Processing of Delta-Sigma Bit-Stream, Springer, Cham, Switzerland, 2020. J. Intell. Fuzzy Syst. 40(5): 10329-10330 (2021) - [j397]Vladik Kreinovich:
Concha Bielza and Pedro Larrañaga, Data-Driven Computational Neuroscience: Machine Learning and Statistical Models, Cambridge University Press, Cambridge, UK, 2021. J. Intell. Fuzzy Syst. 41(1): 2513-2514 (2021) - [j396]Vladik Kreinovich:
Chiara Marletto, The Science of Can and Can't: A Physicist's Journey Through the Land of Counterfactuals, Viking, New York, 2021. J. Intell. Fuzzy Syst. 41(1): 2515-2517 (2021) - [j395]Vladik Kreinovich:
Jose Maria Alonso Moral, Ciro Castiello, Luis Magdalena, and Corrado Mencar, Explainable Fuzzy Systems: Paving the Way from Interpretable Fuzzy Systems to Explainable AI Systems, Springer, Cha... J. Intell. Fuzzy Syst. 41(1): 2519-2520 (2021) - [j394]Hung T. Nguyen, Vladik Kreinovich:
Special issue on soft computing in economic application. Soft Comput. 25(12): 7693-7694 (2021) - [c263]Laxman Bokati, Olga Kosheleva, Vladik Kreinovich:
How Much for a Set: General Case of Decision Making Under Set-Valued Uncertainty. NAFIPS 2021: 52-61 - [c262]Kelly Cohen, Laxman Bokati, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich:
Why Fuzzy Techniques in Explainable AI? Which Fuzzy Techniques in Explainable AI? NAFIPS 2021: 74-78 - [c261]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: 190-195 - [c260]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: 196-202 - [c259]Christian Servin, Olga Kosheleva, Vladik Kreinovich:
What Teachers Can Learn from Machine Learning. NAFIPS 2021: 400-405 - [c258]Julio C. Urenda, Christian Servin, Olga Kosheleva, Vladik Kreinovich:
Mexican Folk Arithmetic Algorithm Makes Perfect Sense. NAFIPS 2021: 453-460 - [c257]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: 499-504 - [c256]Michael Beer, Olga Kosheleva, Vladik Kreinovich:
Uncertainty: Ideas Behind Neural Networks Lead Us Beyond KL- Decomposition and Interval Fields. SSCI 2021: 1-7 - [c255]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: 1-6 - [p63]Vladik Kreinovich, Olga Kosheleva, Michael Zakharevich:
Z-Numbers: How They Describe Student Confidence and How They Can Explain (and Improve) Laplacian and Schroedinger Eigenmap Dimension Reduction in Data Analysis. Fuzzy Approaches for Soft Computing and Approximate Reasoning 2021: 285-297 - 2020
- [b3]Griselda Acosta, Eric Smith, Vladik Kreinovich:
Towards Analytical Techniques for Systems Engineering Applications. Springer 2020, ISBN 978-3-030-46412-7, pp. 1-95 - [j393]Ricardo Alvarez, Nick Sims, Christian Servin, Martine Ceberio, Vladik Kreinovich:
If Space-Time Is Discrete, It Could Be Possible to Solve NP-Complete Problems in Polynomial Time. Int. J. Unconv. Comput. 15(3): 193-218 (2020) - [j392]Hung T. Nguyen, Vladik Kreinovich:
Uncertainty Analysis in Economics and Finance: Preface to the Special Issue. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 28(Supplement-1) (2020) - [j391]Hoang Phuong Nguyen, Vladik Kreinovich:
Towards Making Fuzzy Techniques More Adequate for Combining Knowledge of Several Experts. J. Adv. Comput. Intell. Intell. Informatics 24(5): 583-588 (2020) - [j390]Hoang Phuong Nguyen, Laxman Bokati, Vladik Kreinovich:
A New (Simplified) Derivation of Nash's Bargaining Solution. J. Adv. Comput. Intell. Intell. Informatics 24(5): 589-592 (2020) - [j389]Olga Kosheleva, Vladik Kreinovich, Hoang Phuong Nguyen:
How to Describe Conditions Like 2-out-of-5 in Fuzzy Logic: A Neural Approach. J. Adv. Comput. Intell. Intell. Informatics 24(5): 593-598 (2020) - [j388]Laxman Bokati, Hoang Phuong Nguyen, Olga Kosheleva, Vladik Kreinovich:
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 24(5): 599-603 (2020) - [j387]Vladik Kreinovich, Omar Masmali, Hoang Phuong Nguyen, Omar Badreddin:
Theoretical Explanation of Recent Empirically Successful Code Quality Metrics. J. Adv. Comput. Intell. Intell. Informatics 24(5): 604-608 (2020) - [j386]Vladik Kreinovich:
Review of the book John Kay and Mervyn King, Radical Uncertainty: Decision Making Beyond the Numbers, W. W. Norton and Co., New York, 2020. J. Intell. Fuzzy Syst. 39(3): 4803-4805 (2020) - [j385]Vladik Kreinovich:
Review of the Book "Mind in Motion: How Action Shapes Thought" by Barbara Tversky, Basic Books, New York, 2019. J. Intell. Fuzzy Syst. 39(3): 4807-4810 (2020) - [c254]Olga Kosheleva, Vladik Kreinovich:
Relativistic Effects Can Be Used to Achieve a Universal Square-Root (Or Even Faster) Computation Speedup. Fields of Logic and Computation III 2020: 179-189 - [c253]Vladik Kreinovich:
Formal Concept Analysis Techniques Can Help in Intelligent Control, Deep Learning, etc. CLA 2020: 9-17 - [c252]Vladik Kreinovich, Martine Ceberio, Olga Kosheleva:
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. ICTES 2020: 1-18 - [c251]Michael Beer, Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich:
Why Spiking Neural Networks Are Efficient: A Theorem. IPMU (1) 2020: 59-69 - [c250]