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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
- 2021
[j408]Vladik Kreinovich
, Olga Kosheleva:
Limit Theorems as Blessing of Dimensionality: Neural-Oriented Overview. Entropy 23(5): 501 (2021)- [j407]Jonatan M. Contreras, Martine Ceberio, Vladik Kreinovich:
Why Dilated Convolutional Neural Networks: A Proof of Their Optimality. Entropy 23(6): 767 (2021) - [j406]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) - [j405]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) - [j404]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) - [j403]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) - [j402]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) - [j401]Vladik Kreinovich:
Boris Kovalerchuk, Visual Knowledge Discovery and Machine Learning Springer, Cham, Switzerland, 2018. J. Intell. Fuzzy Syst. 40(3): 5753-5755 (2021) - [j400]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) - [j399]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) - [j398]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) - [j397]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) - [j396]Hung T. Nguyen, Vladik Kreinovich:
Special issue on soft computing in economic application. Soft Comput. 25(12): 7693-7694 (2021) - 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 - [j395]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) - [j394]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) - [j393]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) - [j392]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) - [j391]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) - [j390]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) - [j389]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) - [j388]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) - [j387]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) - [c241]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 - [c240]Vladik Kreinovich:
Formal Concept Analysis Techniques Can Help in Intelligent Control, Deep Learning, etc. CLA 2020: 9-17 - [c239]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 - [c238]Michael Beer, Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich:
Why Spiking Neural Networks Are Efficient: A Theorem. IPMU (1) 2020: 59-69 - [c237]Michael Beer, Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich:
Which Distributions (or Families of Distributions) Best Represent Interval Uncertainty: Case of Permutation-Invariant Criteria. IPMU (1) 2020: 70-79 - [c236]Laxman Bokati, Olga Kosheleva, Vladik Kreinovich, Uram Anibal Sosa Aguirre:
Why Deep Learning Is More Efficient than Support Vector Machines, and How it is Related to Sparsity Techniques in Signal Processing. ISMSI 2020: 8-12 - [c235]Vladik Kreinovich, Olga Kosheleva:
Deep Learning (Partly) Demystified. ISMSI 2020: 30-35 - [c234]Jonatan Contretas, Francisco Zapata, Olga Kosheleva, Vladik Kreinovich, Martine Ceberio:
Let Us Use Negative Examples in Regression-Type Problems Too. IV 2020: 296-300 - [c233]Christian Servin, Olga Kosheleva, Vladik Kreinovich:
Adversarial Teaching Approach to Cybersecurity: A Mathematical Model Explains Why It Works Well. IV 2020: 313-316 - [c232]Oscar Galindo, Olga Kosheleva, Vladik Kreinovich:
Why Majority Rule Does Not Work in Quantum Computing: A Pedagogical Explanation. MICAI (1) 2020: 396-401 - [c231]Edgar Daniel Rodriguez Velasquez, Olga Kosheleva, Vladik Kreinovich:
How to Decide Which Cracks Should Be Repaired First: Theoretical Explanation of Empirical Formulas. MICAI (1) 2020: 402-410 - [c230]Julio C. Urenda, Orsolya Csiszár, Gábor Csiszár, József Dombi, Olga Kosheleva, Vladik Kreinovich, György Eigner:
Why Squashing Functions in Multi-Layer Neural Networks. SMC 2020: 1705-1711 - [c229]Edgar Daniel Rodriguez Velasquez, Vladik Kreinovich:
Scale-Invariance Ideas Explain the Empirical Soil-Water Characteristic Curve. SSCI 2020: 958-962 - [c228]Oscar Galindo, Vladik Kreinovich:
What Is the Optimal Annealing Schedule in Quantum Annealing. SSCI 2020: 963-967 - [c227]Deepak Tosh, Oscar Galindo, Vladik Kreinovich, Olga Kosheleva:
Towards Security of Cyber-Physical Systems using Quantum Computing Algorithms. SoSE 2020: 313-320 - [p62]Mahdokht Afravi, Vladik Kreinovich:
Fuzzy Systems Are Universal Approximators for Random Dependencies: A Simplified Proof. Decision Making under Constraints 2020: 1-5 - [p61]Christian Ayub, Martine Ceberio, Vladik Kreinovich:
How Quantum Computing Can Help with (Continuous) Optimization. Decision Making under Constraints 2020: 7-14 - [p60]Chitta Baral, Martine Ceberio, Vladik Kreinovich:
How Neural Networks (NN) Can (Hopefully) Learn Faster by Taking into Account Known Constraints. Decision Making under Constraints 2020: 15-20 - [p59]Martine Ceberio, Olga Kosheleva, Vladik Kreinovich:
Italian Folk Multiplication Algorithm Is Indeed Better: It Is More Parallelizable. Decision Making under Constraints 2020: 59-64 - [p58]Martine Ceberio, Olga Kosheleva, Vladik Kreinovich:
Reverse Mathematics Is Computable for Interval Computations. Decision Making under Constraints 2020: 65-70 - [p57]Angel F. Garcia Contreras, Martine Ceberio, Vladik Kreinovich:
Plans Are Worthless but Planning Is Everything: A Theoretical Explanation of Eisenhower's Observation. Decision Making under Constraints 2020: 93-98 - [p56]Angel F. Garcia Contreras, Martine Ceberio, Vladik Kreinovich:
Why Convex Optimization Is Ubiquitous and Why Pessimism Is Widely Spread. Decision Making under Constraints 2020: 99-104 - [p55]Olga Kosheleva, Martine Ceberio, Vladik Kreinovich:
Attraction-Repulsion Forces Between Biological Cells: A Theoretical Explanation of Empirical Formulas. Decision Making under Constraints 2020: 139-144 - [p54]Olga Kosheleva, Martine Ceberio, Vladik Kreinovich:
When We Know the Number of Local Maxima, Then We Can Compute All of Them. Decision Making under Constraints 2020: 145-151 - [p53]Andrzej Pownuk, Vladik Kreinovich:
Which Value $\widetilde{x}$ Best Represents a Sample x1, ... , xn: Utility-Based Approach Under Interval Uncertainty. Decision Making under Constraints 2020: 169-174 - [p52]Andrzej Pownuk, Vladik Kreinovich:
Why Unexpectedly Positive Experiences Make Decision Makers More Optimistic: An Explanation. Decision Making under Constraints 2020: 175-179 - [p51]Leobardo Valera, Martine Ceberio, Vladik Kreinovich:
Why Burgers Equation: Symmetry-Based Approach. Decision Making under Constraints 2020: 211-216 - [p50]Francisco Zapata, Maliheh Zargaran, Vladik Kreinovich:
Working on One Part at a Time Is the Best Strategy for Software Production: A Proof. Decision Making under Constraints 2020: 217-221 - [e15]Martine Ceberio, Vladik Kreinovich:
Decision Making under Constraints. Springer 2020, ISBN 978-3-030-40813-8 [contents] - [e14]Yuriy P. Kondratenko, Vladik Kreinovich, Dan Simon, Yaroslav Krainyk:
Proceedings of the 2nd International Workshop on Information-Communication Technologies & Embedded Systems (ICTES 2020) Mykolaiv, Ukraine (online), November 12, 2020., Mykolaiv, Ukraine (online), November 12, 2020. CEUR Workshop Proceedings 2762, CEUR-WS.org 2020 [contents]
2010 – 2019
- 2019
- [j386]Vladik Kreinovich, Olga Kosheleva, Songsak Sriboonchitta:
Why Use a Fuzzy Partition in F-Transform? Axioms 8(3): 94 (2019) - [j385]Olga Kosheleva, Vladik Kreinovich, Thach Ngoc Nguyen:
Why Triangular Membership Functions Are Successfully Used in F-Transform Applications: A Global Explanation to Supplement the Existing Local Ones. Axioms 8(3): 95 (2019) - [j384]Ildar Z. Batyrshin, Olga Kosheleva, Vladik Kreinovich, Nailya Kubysheva, Raouf Akhtiamov:
Contrast Similarity Measures of Fuzzy Sets. Computación y Sistemas 23(4) (2019) - [j383]Vladik Kreinovich:
Acknowledgements to the Referees (2018). Int. J. Uncertain. Fuzziness Knowl. Based Syst. 27(1): 171-173 (2019) - [j382]Vladik Kreinovich:
Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 27(2): 351-352 (2019) - [j381]Vladik Kreinovich:
Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 27(3): 513-514 (2019) - [j380]Vladik Kreinovich:
Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 27(4): 691-692 (2019) - [j379]Vladik Kreinovich:
Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 27(5): 879-880 (2019) - [j378]Ildar Z. Batyrshin, Valerie Cross, Vladik Kreinovich, Maria Rifqi:
Special issue on Similarity, Correlation and Association Measures. J. Intell. Fuzzy Syst. 36(4): 2975-2976 (2019) - [j377]Olga Kosheleva, Vladik Kreinovich:
How to Assign Points for Chores. Russ. Digit. Libr. J. 22(6): 759-762 (2019) - [j376]Olga Kosheleva, Vladik Kreinovich, Francisco Zapata:
Egyptian Fractions Re-Revisited. Russ. Digit. Libr. J. 22(6): 763-768 (2019) - [j375]Mourat Tchoshanov, Olga Kosheleva, Vladik Kreinovich:
Anatole France's Statement on Education Transformed into a Theorem. Russ. Digit. Libr. J. 22(6): 769-772 (2019) - [j374]Laxman Bokati, Vyacheslav Kalashnikov, Nataliya I. Kalashnykova, Olga Kosheleva, Vladik Kreinovich:
How to Assign Grades to Tasks so as to Maximize Student Efforts. Russ. Digit. Libr. J. 22(6): 773-779 (2019) - [c226]Thongchai Dumrongpokaphan, Afshin Gholamy, Vladik Kreinovich, Hoang Phuong Nguyen:
Why Hammerstein-Type Block Models Are so Efficient: Case Study of Financial Econometrics. ECONVN 2019: 129-136 - [c225]Thongchai Dumrongpokaphan, Vladik Kreinovich, Songsak Sriboonchitta:
Why Threshold Models: A Theoretical Explanation. ECONVN 2019: 137-145 - [c224]Thach Ngoc Nguyen, Olga Kosheleva, Vladik Kreinovich, Hoang Phuong Nguyen:
Blockchains Beyond Bitcoin: Towards Optimal Level of Decentralization in Storing Financial Data. ECONVN 2019: 163-167 - [c223]Miroslav Svítek, Olga Kosheleva, Vladik Kreinovich, Thach Ngoc Nguyen:
Why Quantum (Wave Probability) Models Are a Good Description of Many Non-quantum Complex Systems, and How to Go Beyond Quantum Models. ECONVN 2019: 168-175 - [c222]Tran Anh Tuan, Vladik Kreinovich, Thach Ngoc Nguyen:
Decision Making Under Interval Uncertainty: Beyond Hurwicz Pessimism-Optimism Criterion. ECONVN 2019: 176-184 - [c221]Oscar Galindo, Laxman Bokati, Vladik Kreinovich:
Towards a More Efficient Representation of Functions in Quantum and Reversible Computing. EUSFLAT Conf. 2019 - [c220]Oscar Galindo, Vladik Kreinovich:
For Quantum and Reversible Computing, Intervals Are More Appropriate Than General Sets, And Fuzzy Numbers Than General Fuzzy Sets. EUSFLAT Conf. 2019 - [c219]Olga Kosheleva, Vladik Kreinovich:
Physics's Need for Interval Uncertainty and How It Explains Why Physical Space Is (at Least) 3-Dimensional. EUSFLAT Conf. 2019 - [c218]Martine Ceberio, Olga Kosheleva, Vladik Kreinovich, Luc Longpré:
Between Dog and Wolf: A Continuous Transition from Fuzzy to Probabilistic Estimates. FUZZ-IEEE 2019: 1-5 - [c217]Martine Ceberio, Olga Kosheleva, Vladik Kreinovich, Luc Longpré:
In Its Usual Formulation, Fuzzy Computation Is, In General, NP-Hard, But a More Realistic Formulation Can Make It Feasible. FUZZ-IEEE 2019: 1-6 - [c216]Oscar Galindo, Olga Kosheleva, Vladik Kreinovich:
High Concentrations Naturally Lead to Fuzzy-Type Interactions and to Gravitational Wave Bursts. FUZZ-IEEE 2019: 1-5 - [c215]Olga Kosheleva, Christian Servin, Vladik Kreinovich:
Why Grade Distribution Is Often Multi-modal: An Uncertainty-Based Explanation. IFSA/NAFIPS 2019: 106-112 - [c214]Christian Servin, Olga Kosheleva, Vladik Kreinovich:
How to Fuse Expert Knowledge: Not Always "And" but a Fuzzy Combination of "And" and "Or". IFSA/NAFIPS 2019: 113-120 - [c213]Francisco Zapata, Olga Kosheleva, Vladik Kreinovich:
Logarithms Are Not Infinity: A Rational Physics-Related Explanation of the Mysterious Statement by Lev Landau. IFSA/NAFIPS 2019: 746-751 - [c212]Martine Ceberio, Olga Kosheleva, Vladik Kreinovich:
Can We Improve the Standard Algorithm of Interval Computation by Taking Almost Monotonicity into Account? IFSA/NAFIPS 2019: 767-778 - [c211]Michal Cerný, Vladik Kreinovich:
How Accurately Can We Determine the Coefficients: Case of Interval Uncertainty. IFSA/NAFIPS 2019: 779-787 - [c210]Juan Carlos Figueroa-García, Carlos Franco, Vladik Kreinovich:
Fuzzy Approach to Optimal Placement of Health Centers. IFSA/NAFIPS 2019: 793-799 - [c209]Leobardo Valera, Martine Ceberio, Vladik Kreinovich:
Derivation of Louisville-Bratu-Gelfand Equation from Shift- or Scale-Invariance. IFSA/NAFIPS 2019: 813-819 - [c208]Christian Servin, Olga Kosheleva, Vladik Kreinovich:
Probability-Based Approach Explains (and Even Improves) Heuristic Formulas of Defuzzification. IUKM 2019: 98-108 - [c207]Bartlomiej Jacek Kubica, Laxman Bokati, Olga Kosheleva, Vladik Kreinovich:
Softmax and McFadden's Discrete Choice Under Interval (and Other) Uncertainty. PPAM (2) 2019: 364-373 - [c206]Van Nguyen, William Yeoh, Tran Cao Son, Vladik Kreinovich, Tiep Le:
A Scheduler for Smart Homes with Probabilistic User Preferences. PRIMA 2019: 138-152 - [c205]Oscar Galindo, Christian Ayub, Martine Ceberio, Vladik Kreinovich:
Faster Quantum Alternative to Softmax Selection in Deep Learning and Deep Reinforcement Learning. SSCI 2019: 815-818 - [c204]Vladik Kreinovich, Martine Ceberio, Ricardo Alvarez:
How to Use Quantum Computing to Check Which Inputs Are Relevant: A Proof That Deutsch-Jozsa Algorithm Is, In Effect, the Only Possibility. SSCI 2019: 829-833 - [c203]Edgar Daniel Rodriguez Velasquez, Carlos M. Chang Albitres, Vladik Kreinovich:
Relationship between Measurement Results and Expert Estimates of Cumulative Quantities, on the Example of Pavement Roughness. SSCI 2019: 882-885 - [p49]Songsak Sriboonchitta, Luc Longpré, Vladik Kreinovich, Thongchai Dumrongpokaphan:
Why the Best Predictive Models Are Often Different from the Best Explanatory Models: A Theoretical Explanation. Structural Changes and their Econometric Modeling 2019: 163-171 - [p48]Nguyen Ngoc Thach, Olga Kosheleva, Vladik Kreinovich, Hoang Phuong Nguyen:
Algorithmic Need for Subcopulas. Structural Changes and their Econometric Modeling 2019: 172-181 - [p47]Edgar Daniel Rodriguez Velasquez, Carlos M. Chang Albitres, Thach Ngoc Nguyen, Olga Kosheleva, Vladik Kreinovich:
How to Take Expert Uncertainty into Account: Economic Approach Illustrated by Pavement Engineering Applications. Structural Changes and their Econometric Modeling 2019: 182-190 - [p46]Songsak Sriboonchitta, Hung T. Nguyen, Olga Kosheleva, Vladik Kreinovich, Thach Ngoc Nguyen:
Quantum Approach Explains the Need for Expert Knowledge: On the Example of Econometrics. Structural Changes and their Econometric Modeling 2019: 191-199 - [e13]Vladik Kreinovich, Nguyen Ngoc Thach, Nguyen Duc Trung, Dang Van Thanh:
Beyond Traditional Probabilistic Methods in Economics, ECONVN 2019, International Econometric Conference of Vietnam, Ho Chi Minh City, Vietnam, 14-16 January, 2019. Studies in Computational Intelligence 809, Springer 2019, ISBN 978-3-030-04199-1 [contents] - [e12]Ralph Baker Kearfott, Ildar Z. Batyrshin, Marek Reformat, Martine Ceberio, Vladik Kreinovich:
Fuzzy Techniques: Theory and Applications - Proceedings of the 2019 Joint World Congress of the International Fuzzy Systems Association and the Annual Conference of the North American Fuzzy Information Processing Society IFSA/NAFIPS'2019 (Lafayette, Louisiana, USA, June 18-21, 2019). Advances in Intelligent Systems and Computing 1000, Springer 2019, ISBN 978-3-030-21919-2 [contents] - [e11]Vladik Kreinovich, Songsak Sriboonchitta:
Structural Changes and their Econometric Modeling. Studies in Computational Intelligence 808, Springer 2019, ISBN 978-3-030-04262-2 [contents] - 2018
- [b2]Andrew Pownuk, Vladik Kreinovich:
Combining Interval, Probabilistic, and Other Types of Uncertainty in Engineering Applications. Studies in Computational Intelligence 773, Springer 2018, ISBN 978-3-319-91025-3, pp. 1-191 - [j373]Songsak Sriboonchitta, Vladik Kreinovich:
Why Are FGM Copulas Successful? A Simple Explanation. Adv. Fuzzy Syst. 2018: 5872195:1-5872195:5 (2018) - [j372]Christian Servin, Gerardo Muela, Vladik Kreinovich:
Fuzzy Analogues of Sets and Functions Can Be Uniquely Determined from the Corresponding Ordered Category: A Theorem. Axioms 7(1): 8 (2018) - [j371]Salem Benferhat, Vladik Kreinovich, Amélie Levray, Karim Tabia:
Qualitative conditioning in an interval-based possibilistic setting. Fuzzy Sets Syst. 343: 35-49 (2018) - [j370]Vladik Kreinovich:
Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 26(1): 167-168 (2018) - [j369]Vladik Kreinovich:
Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 26(2): 343-344 (2018) - [j368]Vladik Kreinovich:
Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 26(3): 519-520 (2018) - [j367]Vladik Kreinovich:
Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 26(4): 693-694 (2018) - [j366]Vladik Kreinovich:
Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 26(5): 875-876 (2018) - [j365]Vladik Kreinovich:
Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 26(6): 1053-1054 (2018) - [c202]Michael Beer, Zitong Gong, Ingo Neumann, Songsak Sriboonchitta, Vladik Kreinovich:
What If We Do Not Know Correlations? ECONVN 2018: 78-85 - [c201]Thongchai Dumrongpokaphan, Vladik Kreinovich:
Markowitz Portfolio Theory Helps Decrease Medicines' Side Effect and Speed up Machine Learning. ECONVN 2018: 86-93 - [c200]Vladik Kreinovich, Anh Hoang Ly, Olga Kosheleva, Songsak Sriboonchitta:
Efficient Parameter-Estimating Algorithms for Symmetry-Motivated Models: Econometrics and Beyond. ECONVN 2018: 134-145 - [c199]Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta:
Quantum Ideas in Economics Beyond Quantum Econometrics. ECONVN 2018: 146-151 - [c198]Anh Hoang Ly, Michael Zakharevich, Olga Kosheleva, Vladik Kreinovich:
An Ancient Bankruptcy Solution Makes Economic Sense. ECONVN 2018: 152-160 - [c197]Thach Ngoc Nguyen, Olga Kosheleva, Vladik Kreinovich:
Maximum Entropy Beyond Selecting Probability Distributions. ECONVN 2018: 186-195 - [c196]Martha Osegueda Escobar, Vladik Kreinovich, Thach Ngoc Nguyen:
Is It Legitimate Statistics or Is It Sexism: Why Discrimination Is Not Rational. ECONVN 2018: 235-242 - [c195]Stephen Schön, Gaël Kermarrec, Boris Kargoll, Ingo Neumann, Olga Kosheleva, Vladik Kreinovich:
Why Student Distributions? Why Matern's Covariance Model? A Symmetry-Based Explanation. ECONVN 2018: 266-275 - [c194]Olga Kosheleva, Vladik Kreinovich:
Measures of Specificity Used in the Principle of Justifiable Granularity: A Theoretical Explanation of Empirically Optimal Selections. FUZZ-IEEE 2018: 1-7 - [c193]Christian Servin, Olga Kosheleva, Vladik Kreinovich:
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? FUZZ-IEEE 2018: 1-10 - [c192]Olga Kosheleva, Vladik Kreinovich:
Why Triangular Membership Functions are Often Efficient in F-transform Applications: Relation to Probabilistic and Interval Uncertainty and to Haar Wavelets. IPMU (2) 2018: 127-138 - [c191]Francisco Zapata, Olga Kosheleva, Vladik Kreinovich, Thongchai Dumrongpokaphan:
Do It Today or Do It Tomorrow: Empirical Non-exponential Discounting Explained by Symmetry Ideas. IUKM 2018: 27-38 - [c190]Kittawit Autchariyapanitkul, Olga Kosheleva, Vladik Kreinovich, Songsak Sriboonchitta:
Quantum Econometrics: How to Explain Its Quantitative Successes and How the Resulting Formulas Are Related to Scale Invariance, Entropy, and Fuzziness. IUKM 2018: 264-275 - [c189]Christian Servin, Vladik Kreinovich:
Towards Foundations of Fuzzy Utility: Taking Fuzziness into Account Naturally Leads to Intuitionistic Fuzzy Degrees. NAFIPS 2018: 530-537 - [c188]Francisco Zapata, Vladik Kreinovich:
How to Gauge Repair Risk? NAFIPS 2018: 551-558 - [c187]Oscar Galindo, Vladik Kreinovich, Olga Kosheleva:
Current Quantum Cryptography Algorithm Is Optimal: A Proof. SSCI 2018: 295-300 - [c186]Edgar Daniel Rodriguez Velasquez, Carlos M. Chang Albitres, Vladik Kreinovich:
Measurement-Type "Calibration" of Expert Estimates Improves Their Accuracy and Their Usability: Pavement Engineering Case Study.