| Year |
Citation |
Score |
| 2020 |
Kosheleva O, Kreinovich V, Nguyen HP. How to Describe Conditions Like 2-out-of-5 in Fuzzy Logic: a Neural Approach Journal of Advanced Computational Intelligence and Intelligent Informatics. 24: 593-598. DOI: 10.20965/Jaciii.2020.P0593 |
0.301 |
|
| 2020 |
Nguyen HP, Kreinovich V. Towards Making Fuzzy Techniques More Adequate for Combining Knowledge of Several Experts Journal of Advanced Computational Intelligence and Intelligent Informatics. 24: 583-588. DOI: 10.20965/Jaciii.2020.P0583 |
0.309 |
|
| 2019 |
Batyrshin I, Kosheleva O, Kreinovich V, Kubysheva N, Akhtiamov R. Contrast Similarity Measures of Fuzzy Sets ComputacióN Y Sistemas. 23. DOI: 10.13053/Cys-23-4-3325 |
0.352 |
|
| 2018 |
Sriboonchitta S, Kreinovich V. Why Are FGM Copulas Successful? A Simple Explanation Advances in Fuzzy Systems. 2018: 1-5. DOI: 10.1155/2018/5872195 |
0.362 |
|
| 2018 |
Aliev R, Kreinovich V. Z-Numbers and Type-2 Fuzzy Sets: A Representation Result Intelligent Automation and Soft Computing. 24: 205-210. DOI: 10.1080/10798587.2017.1330310 |
0.338 |
|
| 2018 |
Benferhat S, Kreinovich V, Levray A, Tabia K. Qualitative conditioning in an interval-based possibilistic setting Fuzzy Sets and Systems. 343: 35-49. DOI: 10.1016/J.Fss.2017.12.007 |
0.344 |
|
| 2017 |
Zapata F, Kosheleva O, Kreinovich V. Are permanent or temporary teams more efficient: a possible explanation of the empirical data Journal of Innovative Technology and Education. 4: 113-116. DOI: 10.12988/Jite.2017.7513 |
0.519 |
|
| 2017 |
Zapata F, Kosheleva O, Kreinovich V. In education, delayed feedback is often more efficient than immediate feedback: a geometric explanation Journal of Innovative Technology and Education. 4: 109-112. DOI: 10.12988/Jite.2017.7512 |
0.501 |
|
| 2017 |
Kosheleva O, Kreinovich V. For fuzzy logic, Occam's principle explains the ubiquity of the golden ratio and of the 80-20 rule Journal of Innovative Technology and Education. 4: 13-18. DOI: 10.12988/Jite.2017.61247 |
0.319 |
|
| 2017 |
Zapata F, Kosheleva O, Kreinovich V. It is advantageous to make a syllabus as precise as possible: decision-theoretic analysis Journal of Innovative Technology and Education. 4: 1-5. DOI: 10.12988/Jite.2017.61146 |
0.537 |
|
| 2017 |
Kreinovich V, Nguyen HT, Sriboonchitta S, Kosheleva O. Modeling Extremal Events Is Not Easy: Why the Extreme Value Theorem Cannot Be As General As the Central Limit Theorem Studies in Computational Intelligence. 683: 123-133. DOI: 10.1007/978-3-319-51052-1_8 |
0.315 |
|
| 2017 |
Nguyen HT, Kreinovich V, Kosheleva O, Sriboonchitta S. Why Is Linear Quantile Regression Empirically Successful: A Possible Explanation Studies in Computational Intelligence. 683: 159-167. DOI: 10.1007/978-3-319-51052-1_11 |
0.328 |
|
| 2016 |
Fajardo C, Kosheleva O, Kreinovich V. One needs to be careful when dismissing outliers: a realistic example Journal of Innovative Technology and Education. 3: 205-214. DOI: 10.12988/Jite.2016.6720 |
0.332 |
|
| 2016 |
Kosheleva O, Kreinovich V. Interpolation sometimes enhances and sometimes impedes spatial correlation: simple pedagogical examples Journal of Innovative Technology and Education. 3: 79-84. DOI: 10.12988/Jite.2016.6616 |
0.301 |
|
| 2016 |
Kosheleva O, Kreinovich V. Why the range of a robust statistic under interval uncertainty is often easier to compute Journal of Innovative Technology and Education. 3: 37-43. DOI: 10.12988/Jite.2016.613 |
0.302 |
|
| 2016 |
Kosheleva O, Kreinovich V. Maximum entropy approach is not arbitrary as it may seem at first glance Journal of Innovative Technology and Education. 3: 1-7. DOI: 10.12988/Jite.2016.51017 |
0.347 |
|
| 2016 |
Zapata F, Kosheleva O, Kreinovich V. Why dependence of productivity on group size is log-normal International Journal of Computing and Optimization. 3: 63-69. DOI: 10.12988/Ijco.2016.611 |
0.534 |
|
| 2016 |
Kreinovich V, Kosheleva O. Why the graph isomorphism problem is easier than propositional satisfiability: a possible qualitative explanation International Journal of Contemporary Mathematical Sciences. 11: 97-103. DOI: 10.12988/Ijcms.2016.51054 |
0.308 |
|
| 2016 |
Kreinovich V, Kosheleva O, Pownuk A, Romero R. How to Take Into Account Model Inaccuracy When Estimating the Uncertainty of the Result of Data Processing Asce-Asme J Risk and Uncert in Engrg Sys Part B Mech Engrg. 3. DOI: 10.1115/1.4034450 |
0.303 |
|
| 2016 |
Lorkowski J, Kreinovich V. How much for an interval? A set? a twin set? a p-box? a kaucher interval? towards an economics-motivated approach to decision making under uncertainty Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9553: 66-76. DOI: 10.1007/978-3-319-31769-4_6 |
0.312 |
|
| 2016 |
Kreinovich V, Nguyen HT, Sriboonchitta S. Need for Data Processing Naturally Leads to Fuzzy Logic (and Neural Networks): Fuzzy beyond Experts and beyond Probabilities International Journal of Intelligent Systems. 31: 276-293. DOI: 10.1002/Int.21785 |
0.31 |
|
| 2016 |
Nguyen HT, Kreinovich V. Fifty Years of Fuzzy Sets: Contributions to Fuzzy Theory (Preface to the Special Issue) International Journal of Intelligent Systems. 31: 211-214. DOI: 10.1002/Int.21781 |
0.308 |
|
| 2015 |
Nguyen HT, Wu B, Kreinovich V. Our Reasoning is Clearly Fuzzy, So Why is Crisp Logic So often Adequate? International Journal of Intelligent Technologies and Applied Statistics. 8: 133-137. DOI: 10.6148/Ijitas.2015.0802.05 |
0.325 |
|
| 2015 |
Rivera B, Zapata F, Kreinovich V. Security Risk Assessment: Towards a Justification for the Security Risk Factor Table Model Journal of Advanced Computational Intelligence and Intelligent Informatics. 19: 676-680. DOI: 10.20965/Jaciii.2015.P0676 |
0.517 |
|
| 2015 |
Kosheleva O, Kreinovich V. Constructive mathematics is seemingly simple but there are still open problems: Kreisel's observation explained Journal of Innovative Technology and Education. 2: 51-56. DOI: 10.12988/Jite.2015.5912 |
0.315 |
|
| 2015 |
Kreinovich V, Ouncharoen R. Fuzzy (and Interval) techniques in the age of big data: An overview with applications to environmental science, geosciences, engineering, and medicine International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems. 23: 75-89. DOI: 10.1142/S0218488515400061 |
0.323 |
|
| 2015 |
Zapata F, Lerma O, Valera L, Kreinovich V. How to speed up software migration and modernization: Successful strategies developed by precisiating expert knowledge Annual Conference of the North American Fuzzy Information Processing Society - Nafips. 2015. DOI: 10.1109/NAFIPS-WConSC.2015.7284166 |
0.501 |
|
| 2015 |
Servin C, Kreinovich V, Kosheleva O. From 1-D to 2-D fuzzy: A proof that interval-valued and complex-valued are the only distributive options Annual Conference of the North American Fuzzy Information Processing Society - Nafips. 2015. DOI: 10.1109/NAFIPS-WConSC.2015.7284138 |
0.736 |
|
| 2015 |
Servin C, Nguyen HT, Kreinovich V. How to estimate expected shortfall when probabilities are known with interval or fuzzy uncertainty Ieee International Conference On Fuzzy Systems. 2015. DOI: 10.1109/FUZZ-IEEE.2015.7337895 |
0.749 |
|
| 2015 |
Holčapek M, Perfilieva I, Novák V, Kreinovich V. Necessary and sufficient conditions for generalized uniform fuzzy partitions Fuzzy Sets and Systems. 277: 97-121. DOI: 10.1016/J.Fss.2014.10.017 |
0.352 |
|
| 2015 |
Kreinovich V, Nguyen HT, Sriboonchitta S. What if We Only Have Approximate Stochastic Dominance Studies in Computational Intelligence. 583: 53-61. DOI: 10.1007/978-3-319-13449-9_4 |
0.327 |
|
| 2015 |
Zapata F, Kreinovich V. Possible geometric explanations for basic empirical dependencies of systems engineering Journal of Uncertain Systems. 9: 151-155. |
0.466 |
|
| 2014 |
Rivera B, Zapata F, Kreinovich V. From numerical probabilities to linguistic probabilies: A theoretical justification of empirical granules used in risk management Applied Mathematical Sciences. 8: 7195-7200. DOI: 10.12988/Ams.2014.48659 |
0.545 |
|
| 2014 |
Servin C, Velasco A, Kreinovich V. How to estimate relative spatial resolution of different maps or images of the same area? Conference Proceedings - Ieee International Conference On Systems, Man and Cybernetics. 2014: 3492-3496. DOI: 10.1109/smc.2014.6974470 |
0.727 |
|
| 2014 |
Zapata F, Kosheleva O, Kreinovich V. Wiener's conjecture about transformation groups helps predict which fuzzy techniques work better 2014 Ieee Conference On Norbert Wiener in the 21st Century: Driving Technology's Future, 21cw 2014 - Incorporating the Proceedings of the 2014 North American Fuzzy Information Processing Society Conference, Nafips 2014, Conference Proceedings. DOI: 10.1109/NORBERT.2014.6893886 |
0.508 |
|
| 2014 |
Servin C, Kreinovich V. Towards efficient algorithms for approximating a fuzzy relation by fuzzy rules: Case when 'and'-and 'or'-operation are distributive 2014 Ieee Conference On Norbert Wiener in the 21st Century: Driving Technology's Future, 21cw 2014 - Incorporating the Proceedings of the 2014 North American Fuzzy Information Processing Society Conference, Nafips 2014, Conference Proceedings. DOI: 10.1109/NORBERT.2014.6893885 |
0.747 |
|
| 2014 |
Longpré L, Kosheleva O, Kreinovich V. Towards the Possibility of Objective Interval Uncertainty Scanning. 54-65. DOI: 10.1007/978-3-319-31769-4_5 |
0.313 |
|
| 2014 |
Servin C, Jaimes A, Tweedie C, Velasco A, Ochoa O, Kreinovich V. How to gauge accuracy of measurements and of expert estimates: Beyond normal distributions Studies in Fuzziness and Soft Computing. 312: 339-346. DOI: 10.1007/978-3-319-03674-8_32 |
0.725 |
|
| 2014 |
Nava J, Kreinovich V. Why a model produced by training a neural network is often more computationally effcient than a nonlinear regression model: A theoretical explanation Journal of Uncertain Systems. 8: 193-204. |
0.542 |
|
| 2014 |
Servin C, Kreinovich V. Images are easier to restore than 1-D signals: A theoretical explanation of a surprising empirical phenomenon Journal of Uncertain Systems. 8: 211-215. |
0.698 |
|
| 2013 |
Stein M, Beer M, Kreinovich V. Bayesian Approach for Inconsistent Information. Information Sciences. 245: 96-111. PMID 24089579 DOI: 10.1016/J.Ins.2013.02.024 |
0.399 |
|
| 2013 |
Krmelova M, Trnecka M, Kreinovich V, Wu B. How to Distinguish True Dependence from Varying Independence International Journal of Intelligent Technologies and Applied Statistics. 6: 339-351. DOI: 10.6148/Ijitas.2013.0604.02 |
0.316 |
|
| 2013 |
Kosheleva O, Kreinovich V. Why in mayan mathematics, zero and infinity are the same: A possible explanation Applied Mathematical Sciences. 7: 6193-6197. DOI: 10.12988/Ams.2013.39487 |
0.327 |
|
| 2013 |
Xiang G, Kreinovich V. Data anonymization that leads to the most accurate estimates of statistical characteristics Proceedings of the 2013 Ieee Symposium On Computational Intelligence For Engineering Solutions, Cies 2013 - 2013 Ieee Symposium Series On Computational Intelligence, Ssci 2013. 163-170. DOI: 10.1109/CIES.2013.6611744 |
0.452 |
|
| 2013 |
Xiang G, Kreinovich V. Towards fast and accurate algorithms for processing fuzzy data: Interval computations revisited International Journal of General Systems. 42: 197-223. DOI: 10.1080/03081079.2012.745243 |
0.55 |
|
| 2013 |
Zapata F, Kreinovich V, Joslyn C, Hogan E. Orders on intervals over partially ordered sets: Extending Allen's algebra and interval graph results Soft Computing. 17: 1379-1391. DOI: 10.1007/s00500-013-1010-1 |
0.534 |
|
| 2012 |
Nava J, Kreinovich V. Towards symmetry-based explanation of (Approximate) shapes of alpha-helices and beta-sheets (and beta-barrels) in protein structure Symmetry. 4: 15-25. DOI: 10.3390/Sym4010015 |
0.553 |
|
| 2012 |
Ochoa O, Velasco AA, Servin C, Kreinovich V. Model fusion under probabilistic and interval uncertainty, with application to Earth sciences International Journal of Reliability and Safety. 6: 167-187. DOI: 10.1504/Ijrs.2012.044307 |
0.741 |
|
| 2012 |
Kosheleva O, Kreinovich V. Towards optimal effort distribution in process design under uncertainty, with application to education International Journal of Reliability and Safety. 6: 148. DOI: 10.1504/Ijrs.2012.044306 |
0.333 |
|
| 2012 |
Nava J, Kosheleva O, Kreinovich V. Why bernstein polynomials are better: Fuzzy-inspired justification Ieee International Conference On Fuzzy Systems. DOI: 10.1109/FUZZ-IEEE.2012.6251341 |
0.605 |
|
| 2012 |
Zapata F, Kreinovich V. Reconstructing an Open Order from Its Closure, with Applications to Space-Time Physics and to Logic Studia Logica. 100: 419-435. DOI: 10.1007/S11225-012-9386-Y |
0.542 |
|
| 2012 |
Nava J, Kreinovich V. Towards interval techniques for model validation Computing. 94: 257-269. DOI: 10.1007/S00607-011-0166-8 |
0.616 |
|
| 2012 |
Wu B, Kreinovich V, 吳柏林. Computing statistics under interval and fuzzy uncertainty: Applications to computer science and engineering Studies in Computational Intelligence. 1-441. DOI: 10.1007/978-3-642-24905-1 |
0.336 |
|
| 2012 |
Kreinovich V, Nava J. I-complexity and discrete derivative of logarithms: A symmetry-based explanation Journal of Uncertain Systems. 6: 118-121. |
0.59 |
|
| 2012 |
Nava J, Kreinovich V. Orthogonal bases are the best: A theorem justifying Bruno Apolloni's heuristic neural network idea Journal of Uncertain Systems. 6: 122-127. |
0.54 |
|
| 2011 |
Kreinovich V, Kalashnikov V. Selected Papers from ISMEf2010 Journal of Advanced Computational Intelligence and Intelligent Informatics. 15: 399-399. DOI: 10.20965/Jaciii.2011.P0399 |
0.315 |
|
| 2011 |
Kreinovich V, Perfilieva I. Towards an (even more) natural probabilistic interpretation of fuzzy transforms (and of fuzzy modeling) Advances in Fuzzy Systems. DOI: 10.1155/2011/719256 |
0.323 |
|
| 2011 |
Kreinovich V, Xiang G, Oberguggenberger M. How to define a confidence set for functions: A new justification of the area method International Journal of General Systems. 40: 727-739. DOI: 10.1080/03081079.2011.589841 |
0.55 |
|
| 2011 |
Longpré L, Servin C, Kreinovich V. Quantum computation techniques for gauging reliability of interval and fuzzy data International Journal of General Systems. 40: 99-109. DOI: 10.1080/03081079.2010.510247 |
0.383 |
|
| 2011 |
Kreinovich V, Chiangpradit M, Panichkitkosolkul W. Efficient algorithms for heavy-tail analysis under interval uncertainty Annals of Operations Research. 195: 73-96. DOI: 10.1007/S10479-011-0911-6 |
0.322 |
|
| 2011 |
Nava J, Kreinovich V. Equivalence of gian-carlo rota poset approach and taylor series approach extended to variant ligands Journal of Uncertain Systems. 5: 111-118. |
0.515 |
|
| 2010 |
Kreinovich V, Nguyen HT, Sriboonchitta S. Estimating Risk under Interval Uncertainty: Sequential and Parallel Algorithms International Journal of Intelligent Technologies and Applied Statistics. 3: 57-70. DOI: 10.6148/Ijitas.2010.0301.05 |
0.345 |
|
| 2010 |
Solopchenko GN, Semenov KK, Kreinovich V, Reznik L. Measurement's Result and its Error as Fuzzy Variables: Background and Perspectives Key Engineering Materials. 437: 487-491. DOI: 10.4028/Www.Scientific.Net/Kem.437.487 |
0.31 |
|
| 2010 |
Xiang G, Kreinovich VS. Extending maximum entropy techniques to entropy constraints Annual Conference of the North American Fuzzy Information Processing Society - Nafips. DOI: 10.1109/NAFIPS.2010.5548264 |
0.441 |
|
| 2010 |
Xiang G, Kreinovich V. Towards improved trapezoidal approximation to intersection (fusion) of trapezoidal fuzzy numbers: Specific procedure and general non-associativity theorem 2010 Ieee World Congress On Computational Intelligence, Wcci 2010. DOI: 10.1109/FUZZY.2010.5584150 |
0.489 |
|
| 2010 |
Kreinovich V, Xiang G. Estimating information amount under uncertainty: Algorithmic solvability and computational complexity International Journal of General Systems. 39: 349-378. DOI: 10.1080/03081071003696025 |
0.576 |
|
| 2009 |
G.-Tóth B, Kreinovich V. Verified methods for computing pareto sets: General algorithmic analysis International Journal of Applied Mathematics and Computer Science. 19: 369-380. DOI: 10.2478/V10006-009-0031-5 |
0.319 |
|
| 2009 |
Kreinovich V. Interval methods in knowledge representation International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems. 17: 609-610. DOI: 10.1142/S0218488500000435 |
0.348 |
|
| 2009 |
Huynh VN, Kreinovich V. Interval/Probabilistic Uncertainty: Editorial International Journal of Approximate Reasoning. 50: 1149-1150. DOI: 10.1016/J.Ijar.2009.06.005 |
0.323 |
|
| 2008 |
Niwitpong S, Nguyen HT, Neumann I, Kreinovich V. Hypothesis Testing with Interval Data: Case of Regulatory Constraints International Journal of Intelligent Technologies and Applied Statistics. 1: 19-41. DOI: 10.6148/Ijitas.2008.0102.02 |
0.327 |
|
| 2008 |
Nguyen HT, Kreinovich V, Xiang G. Random fuzzy sets Intelligent Data Analysis: Developing New Methodologies Through Pattern Discovery and Recovery. 18-44. DOI: 10.4018/978-1-59904-982-3.ch002 |
0.523 |
|
| 2008 |
Kreinovich V. Application-motivated combinations of fuzzy, interval and probability approaches, and their use in geoinformatics, bioinformatics and engineering International Journal of Automation and Control. 2: 153-177. DOI: 10.1504/Ijaac.2008.022188 |
0.388 |
|
| 2008 |
Nguyen HT, Kreinovich V, Kamoroff E. Asymmetric information measures: how to extract knowledge from an expert so that the expert's effort is minimal International Journal of Automation and Control. 2: 317. DOI: 10.1504/Ijaac.2008.022184 |
0.305 |
|
| 2008 |
Reznik L, Kreinovich V. Fuzzy Prediction Models in Measurement Ieee Transactions On Fuzzy Systems. 16: 851-862. DOI: 10.1109/Tfuzz.2008.924323 |
0.351 |
|
| 2008 |
Araiza R, Ceberio M, Kanagala NS, Kreinovich V, Xiang G. Applications of 1-D versions of image referencing techniques to hydrology and to patient rehabilitation Annual Conference of the North American Fuzzy Information Processing Society - Nafips. DOI: 10.1109/NAFIPS.2008.4531295 |
0.724 |
|
| 2008 |
Kreinovich V, Xiang G. Towards fast algorithms for processing type-2 fuzzy data: Extending Mendel's algorithms from interval-valued to a more general case Annual Conference of the North American Fuzzy Information Processing Society - Nafips. DOI: 10.1109/NAFIPS.2008.4531281 |
0.549 |
|
| 2008 |
Kreinovich V, Kosheleva O. Computational complexity of determining which statements about causality hold in different space–time models Theoretical Computer Science. 405: 50-63. DOI: 10.1016/J.Tcs.2008.06.028 |
0.31 |
|
| 2008 |
Kreinovich V, Xiang G. Fast algorithms for computing statistics under interval uncertainty: An overview Advances in Soft Computing. 46: 19-31. DOI: 10.1007/978-3-540-77664-2_3 |
0.549 |
|
| 2007 |
Starks SA, Longpré L, Araiza R, Kreinovich V, Nguyen HT. Detecting duplicates in geoinformatics: From intervals and fuzzy numbers to general multi-D uncertainty Annual Conference of the North American Fuzzy Information Processing Society - Nafips. 554-559. DOI: 10.1109/NAFIPS.2007.383900 |
0.741 |
|
| 2007 |
Kreinovich V, Nguyen HT, Wu B. On-line algorithms for computing mean and variance of interval data, and their use in intelligent systems Information Sciences. 177: 3228-3238. DOI: 10.1016/J.Ins.2006.11.007 |
0.356 |
|
| 2007 |
Kreinovich V, Beck J, Nguyen HT. Ellipsoids and ellipsoid-shaped fuzzy sets as natural multi-variate generalization of intervals and fuzzy numbers: How to elicit them from users, and how to use them in data processing Information Sciences. 177: 388-407. DOI: 10.1016/J.Ins.2006.03.004 |
0.643 |
|
| 2007 |
Berleant D, Ceberio M, Xiang G, Kreinovich V. Towards adding probabilities and correlations to interval computations International Journal of Approximate Reasoning. 46: 499-510. DOI: 10.1016/J.Ijar.2007.01.002 |
0.558 |
|
| 2007 |
Averill MG, Miller KC, Randy Keller G, Kreinovich V, Araiza R, Starks SA. Using expert knowledge in solving the seismic inverse problem International Journal of Approximate Reasoning. 45: 564-587. DOI: 10.1016/j.ijar.2006.06.025 |
0.724 |
|
| 2007 |
Kreinovich V, Kosheleva O, Starks SA, Tupelly K, Dimuro GP, Carlos da Rocha Costa A, Villaverde K. From intervals to domains: Towards a general description of validated uncertainty, with potential applications to geospatial and meteorological data Journal of Computational and Applied Mathematics. 199: 411-417. DOI: 10.1016/J.Cam.2005.08.049 |
0.358 |
|
| 2007 |
Ceberio M, Kreinovich V, Chopra S, Longpré L, Nguyen HT, Ludäscher B, Baral C. Interval-type and affine arithmetic-type techniques for handling uncertainty in expert systems Journal of Computational and Applied Mathematics. 199: 403-410. DOI: 10.1016/J.Cam.2005.08.030 |
0.322 |
|
| 2007 |
Kreinovich V, Longpré L, Starks SA, Xiang G, Beck J, Kandathi R, Nayak A, Ferson S, Hajagos J. Interval versions of statistical techniques with applications to environmental analysis, bioinformatics, and privacy in statistical databases Journal of Computational and Applied Mathematics. 199: 418-423. DOI: 10.1016/J.Cam.2005.07.041 |
0.738 |
|
| 2007 |
Xiang G, Ceberio M, Kreinovich V. Computing population variance and entropy under interval uncertainty: Linear-time algorithms Reliable Computing. 13: 467-488. DOI: 10.1007/S11155-007-9045-6 |
0.559 |
|
| 2007 |
Castillo O, Kreinovich V. Interval-related talks at the 2007 IEEE symposium series on computational intelligence : Honolulu, Hawaii, April 1-5, 2007 Reliable Computing. 13: 435-440. DOI: 10.1007/S11155-007-9040-Y |
0.359 |
|
| 2007 |
Starks SA, Kreinovich V. Interval-related talks at the second international conference on fuzzy sets and soft computing in economics and finance Reliable Computing. 13: 113-117. DOI: 10.1007/S11155-006-9018-1 |
0.333 |
|
| 2007 |
Schiek CG, Araiza R, Hurtado JM, Velasco AA, Kreinovich V, Sinyansky V. Images with uncertainty: Efficient algorithms for shift, rotation, scaling, and registration, and their applications to geosciences Studies in Fuzziness and Soft Computing. 210: 35-64. DOI: 10.1007/978-3-540-38233-1_2 |
0.705 |
|
| 2007 |
Xiang G, Kreinovich V. Estimating variance under interval and fuzzy uncertainty: Case of hierarchical estimation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4529: 3-12. |
0.487 |
|
| 2006 |
Aló R, Kreinovich V, Starks SA. Testing Hypotheses on Simulated Data: Why Traditional Hypotheses-Testing Statistics are Not Always Adequate for Simulated Data, and How to Modify Them Journal of Advanced Computational Intelligence and Intelligent Informatics. 10: 260-264. DOI: 10.20965/Jaciii.2006.P0260 |
0.325 |
|
| 2006 |
Ceberio M, Kreinovich V, Xiang G, Ferson S, Joslyn C. Adding constraints to situations when, in addition to intervals, we also have partial information about probabilities 12th Gamm - Imacs International Symposium On Scientific Computing, Computer Arithmetic and Validated Numerics, Scan 2006, Conference Post-Proceedings. DOI: 10.1109/Scan.2006.7 |
0.584 |
|
| 2006 |
Kosheleva O, Kreinovich V, Longpre L, Tschoshanov M, Xiang G. Towards Interval Techniques for Processing Educational Data Social Cognitive and Affective Neuroscience. 28-28. DOI: 10.1109/Scan.2006.46 |
0.524 |
|
| 2006 |
Kreinovich V, Starks SA, Araiza R, Xiang G, Velasco AA, Averill MG, Keller GR. Towards combining probabilistic, interval, fuzzy uncertainty, and constraints: An example using the inverse problem in geophysics 12th Gamm - Imacs International Symposium On Scientific Computing, Computer Arithmetic and Validated Numerics, Scan 2006, Conference Post-Proceedings. DOI: 10.1109/Scan.2006.45 |
0.795 |
|
| 2006 |
Kreinovich V, Xiang G, Ferson S. Computing mean and variance under Dempster-Shafer uncertainty: Towards faster algorithms International Journal of Approximate Reasoning. 42: 212-227. DOI: 10.1016/J.Ijar.2005.12.001 |
0.57 |
|
| 2006 |
Kreinovich V, Ferson S. Computing best-possible bounds for the distribution of a sum of several variables is NP-hard International Journal of Approximate Reasoning. 41: 331-342. DOI: 10.1016/J.Ijar.2005.06.009 |
0.324 |
|
| 2006 |
Kreinovich V, Nguyen HT. Which fuzzy logic is the best: Pragmatic approach (and its theoretical analysis) Fuzzy Sets and Systems. 157: 611-614. DOI: 10.1016/J.Fss.2005.10.009 |
0.339 |
|
| 2006 |
Kreinovich V, Beck J, Ferregut C, Sanchez A, Keller GR, Averill M, Starks SA. Monte-Carlo-Type Techniques for Processing Interval Uncertainty, and Their Potential Engineering Applications Reliable Computing. 13: 25-69. DOI: 10.1007/S11155-006-9021-6 |
0.322 |
|
| 2006 |
Kreinovich V, Xiang G, Starks SA, Longpré L, Ceberio M, Araiza R, Beck J, Kandathi R, Nayak A, Torres R, Hajagos JG. Towards combining probabilistic and interval uncertainty in engineering calculations: Algorithms for computing statistics under interval uncertainty, and their computational complexity Reliable Computing. 12: 471-501. DOI: 10.1007/S11155-006-9015-4 |
0.789 |
|
| 2006 |
Dantsin E, Kreinovich V, Wolpert A, Xiang G. Population Variance under Interval Uncertainty: A New Algorithm Reliable Computing. 12: 273-280. DOI: 10.1007/S11155-006-9001-X |
0.547 |
|
| 2006 |
Kreinovich V, Modave F, Starks S, Xiang G. Towards real world applications: Interval-related talks at NAFIPS'05 Reliable Computing. 12: 73-77. DOI: 10.1007/S11155-006-2970-Y |
0.563 |
|
| 2006 |
Starks SA, Kosheleva O, Kreinovich V. Kaluza–Klein 5D Ideas Made Fully Geometric International Journal of Theoretical Physics. 45: 576-588. DOI: 10.1007/S10773-006-9047-X |
0.301 |
|
| 2005 |
Joslyn C, Kreinovich V. Convergence properties of an interval probabilistic approach to system reliability estimation International Journal of General Systems. 34: 465-482. DOI: 10.1080/03081070500033880 |
0.332 |
|
| 2005 |
Tupelly K, Kreinovich V, Villaverde K. Checking if there exists a monotonic function that is consistent with the measurements: An efficient algorithm Reliable Computing. 11: 291-312. DOI: 10.1007/S11155-005-6892-X |
0.319 |
|
| 2005 |
Kreinovich V, Longpr� L, Patangay P, Ferson S, Ginzburg L. Outlier Detection under Interval Uncertainty: Algorithmic Solvability and Computational Complexity Reliable Computing. 11: 59-76. DOI: 10.1007/S11155-005-5943-7 |
0.312 |
|
| 2005 |
Ferson S, Ginzburg L, Kreinovich V, Longpré L, Aviles M. Exact Bounds on Finite Populations of Interval Data Reliable Computing. 11: 207-233. DOI: 10.1007/S11155-005-3616-1 |
0.316 |
|
| 2005 |
Ceberio M, Kreinovich V, Rueher M. Reliable Computations and their Applications (RCA) track Reliable Computing. 11: 499-503. DOI: 10.1007/S11155-005-0408-6 |
0.341 |
|
| 2005 |
Kreinovich V. Optimal finite characterization of linear problems with inexact data Reliable Computing. 11: 479-489. DOI: 10.1007/S11155-005-0406-8 |
0.301 |
|
| 2004 |
Ceberio M, Kreinovich V. Greedy algorithms for optimizing multivariate Horner schemes Acm Sigsam Bulletin. 38: 8-15. DOI: 10.1145/980175.980179 |
0.308 |
|
| 2004 |
Torres R, Keller GR, Kreinovich V, Longpré L, Starks SA. Eliminating Duplicates under Interval and Fuzzy Uncertainty: An Asymptotically Optimal Algorithm and Its Geospatial Applications Reliable Computing. 10: 401-422. DOI: 10.1023/B:Reom.0000032121.21617.38 |
0.358 |
|
| 2004 |
Lodwick W, Kreinovich V. Interval-Related Talks at the 22th International Conference of the North American Fuzzy Information Processing Society NAFIPS'03 Reliable Computing. 10: 71-73. DOI: 10.1023/B:Reom.0000004034.85635.3A |
0.36 |
|
| 2004 |
Mulupuru BC, Kreinovich V, Osegueda R. Interval Approach to Phase Measurements Can Lead to Arbitrarily Complex Sets – A Theorem and Ways around It Numerical Algorithms. 37: 285-299. DOI: 10.1023/B:Numa.0000049475.44047.C8 |
0.329 |
|
| 2004 |
Kreinovich V, Pauwels EJ, Ferson SA, Ginzburg L. A Feasible Algorithm for Locating Concave and Convex Zones of Interval Data and Its Use in Statistics-Based Clustering Numerical Algorithms. 37: 225-232. DOI: 10.1023/B:Numa.0000049469.02043.24 |
0.304 |
|
| 2004 |
Kreinovich V. Probabilities, intervals, what next? Optimization problems related to extension of interval computations to situations with partial information about probabilities Journal of Global Optimization. 29: 265-280. DOI: 10.1023/B:Jogo.0000044769.91651.87 |
0.387 |
|
| 2004 |
Kreinovich V, Ferson S. A new Cauchy-based black-box technique for uncertainty in risk analysis Reliability Engineering & System Safety. 85: 267-279. DOI: 10.1016/J.Ress.2004.03.016 |
0.326 |
|
| 2004 |
Granvilliers L, Kreinovich V, Müller N. Novel Approaches to Numerical Software with Result Verification Lecture Notes in Computer Science. 274-305. DOI: 10.1007/978-3-540-24738-8_17 |
0.322 |
|
| 2004 |
Kreinovich V, Longpré L. Fast quantum algorithms for handling probabilistic and interval uncertainty Mathematical Logic Quarterly. 50: 405-416. DOI: 10.1002/Malq.200310116 |
0.381 |
|
| 2004 |
Kreinovich V, Tao C. Checking identities is computationally intractable NP-hard and therefore human provers will always be needed International Journal of Intelligent Systems. 19: 39-49. DOI: 10.1002/Int.V19:1/2 |
0.311 |
|
| 2003 |
Kreinovich V, Longpré L, Buckley JJ. Reliable Computing. 9: 349-358. DOI: 10.1023/A:1025127113561 |
0.307 |
|
| 2003 |
Yager RR, Kreinovich V. Universal approximation theorem for uninorm-based fuzzy systems modeling Fuzzy Sets and Systems. 140: 331-339. DOI: 10.1016/S0165-0114(02)00521-3 |
0.331 |
|
| 2003 |
Walster G, Kreinovich V. Computational complexity of optimization and crude range testing: a new approach motivated by fuzzy optimization Fuzzy Sets and Systems. 135: 179-208. DOI: 10.1016/S0165-0114(02)00254-3 |
0.333 |
|
| 2003 |
Kreinovich V, Kunin IA. Kolmogorov complexity and chaotic phenomena International Journal of Engineering Science. 41: 483-493. DOI: 10.1016/S0020-7225(02)00211-2 |
0.3 |
|
| 2003 |
Nguyen HT, Kreinovich V, Di Nola A. Which truth values in fuzzy logics are definable? International Journal of Intelligent Systems. 18: 1057-1064. DOI: 10.1002/Int.10131 |
0.34 |
|
| 2002 |
Ferson S, Ginzburg L, Kreinovich V, Longpré L, Aviles M. Computing variance for interval data is NP-hard Acm Sigact News. 33: 108. DOI: 10.1145/564585.564604 |
0.329 |
|
| 2002 |
Araiza R, Xie H, Starks SA, Kreinovich V. Automatic referencing of multi-spectral images Proceedings of the Ieee Southwest Symposium On Image Analysis and Interpretation. 2002: 21-25. DOI: 10.1109/IAI.2002.999882 |
0.696 |
|
| 2002 |
Trejo R, Kreinovich V. Computing the shape of the image of a multi-linear mapping is possible but computationally intractable: Theorems International Journal of General Systems. 31: 17-27. DOI: 10.1080/03081070290008002 |
0.727 |
|
| 2002 |
Kreinovich V. Range estimation Is NP-hard for ε2 accuracy and feasible for ε2-δ Reliable Computing. 8: 481-491. DOI: 10.1023/A:1021368627321 |
0.338 |
|
| 2002 |
Heindl G, Kreinovich V, Rifqi M. Reliable Computing. 8: 213-227. DOI: 10.1023/A:1015513329566 |
0.356 |
|
| 2002 |
Trejo R, Kreinovich V, Goodman IR, Martinez J, Gonzalez R. A realistic (non-associative) logic and a possible explanations of 7 ± 2 law International Journal of Approximate Reasoning. 29: 235-266. DOI: 10.1016/S0888-613X(01)00065-2 |
0.719 |
|
| 2002 |
Perfilieva I, Kreinovich V. A new universal approximation result for fuzzy systems, which reflects CNF-DNF duality International Journal of Intelligent Systems. 17: 1121-1130. DOI: 10.1002/Int.10063 |
0.335 |
|
| 2001 |
Phuong NH, Kreinovich V. Fuzzy logic and its applications in medicine International Journal of Medical Informatics. 62: 165-173. PMID 11470619 DOI: 10.1016/S1386-5056(01)00160-5 |
0.303 |
|
| 2001 |
Nguyen N, Nguyen HT, Wu B, Kreinovich V. Chu Spaces: Towards New Foundations for Fuzzy Logic and Fuzzy Control, with Applications to Information Flow on the World Wide Web Journal of Advanced Computational Intelligence and Intelligent Informatics. 5: 149-156. DOI: 10.20965/Jaciii.2001.P0149 |
0.305 |
|
| 2001 |
Kreinovich V. Roundoff-free number fields for interval computations Reliable Computing. 7: 41-47. DOI: 10.1023/A:1011483201932 |
0.308 |
|
| 2001 |
Trejo R, Galloway J, Sachar C, Kreinovich V, Baral C, Tuan LC. From planning to searching for the shortest plan: An optimal transition International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems. 9: 827-837. DOI: 10.1016/S0218-4885(01)00127-7 |
0.719 |
|
| 2001 |
Goodman IR, Kreinovich V. On representation and approximation of operations in Boolean algebras International Journal of Intelligent Systems. 16: 647-653. DOI: 10.1002/Int.1028 |
0.334 |
|
| 2000 |
Baral C, Tuan LC, Trejo R, Kreinovich V. Computational complexity of planning based on partial information about the system's present and past states Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 1861: 882-896. DOI: 10.1007/3-540-44957-4_59 |
0.729 |
|
| 2000 |
Kreinovich V, Yam Y. Why Clustering in Function Approximation? Theoretical Explanation International Journal of Intelligent Systems. 15: 959-966. DOI: 10.1002/1098-111X(200010)15:10<959::Aid-Int4>3.0.Co;2-B |
0.325 |
|
| 2000 |
Kreinovich V, Nguyen HT, Yam Y. Fuzzy Systems Are Universal Approximators for a Smooth Function and Its Derivatives International Journal of Intelligent Systems. 15: 565-574. DOI: 10.1002/(Sici)1098-111X(200006)15:6<565::Aid-Int6>3.0.Co;2-0 |
0.333 |
|
| 1999 |
NGUYEN HT, KREINOVICH V, WU B. FUZZY/PROBABILITY ~ FRACTAL/SMOOTH International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 7: 363-370. DOI: 10.1142/S0218488599000313 |
0.343 |
|
| 1999 |
Kreinovich V. Coincidences are not accidental: a theorem Cybernetics and Systems. 30: 429-440. DOI: 10.1080/019697299125154 |
0.302 |
|
| 1999 |
Kosheleva O, Kreinovich V. Error Estimation for Indirect Measurements: Interval Computation Problem Is (Slightly) Harder Than a Similar Probabilistic Computational Problem Reliable Computing. 5: 81-95. DOI: 10.1023/A:1026497709529 |
0.322 |
|
| 1999 |
Kosheleva O, Kreinovich V. Only Intervals Preserve the Invertibility of Arithmetic Operations Reliable Computing. 5: 385-394. DOI: 10.1023/A:1009982014556 |
0.312 |
|
| 1999 |
Bouchon-Meunier B, Kreinovich V. Fuzzy modus ponens as a calculus of logical modifiers: towards Zadeh's vision of implication calculus Information Sciences. 116: 219-227. DOI: 10.1016/S0020-0255(98)10071-3 |
0.315 |
|
| 1999 |
Baral C, Kreinovich V, Trejo R. Computational complexity of planning and approximate planning in presence of incompleteness Ijcai International Joint Conference On Artificial Intelligence. 2: 948-953. DOI: 10.1016/S0004-3702(00)00043-6 |
0.727 |
|
| 1999 |
Gehrke M, Kreinovich V, Bouchon-Meunier B. Propositional fuzzy logics: decidable for some (algebraic) operators; undecidable for more complicated ones International Journal of Intelligent Systems. 14: 935-947. DOI: 10.1002/(Sici)1098-111X(199909)14:9<935::Aid-Int6>3.0.Co;2-E |
0.358 |
|
| 1999 |
Nguyen HT, Kreinovich V. How to divide a territory? A new simple differential formalism for optimization of set functions International Journal of Intelligent Systems. 14: 223-251. DOI: 10.1002/(Sici)1098-111X(199903)14:3<223::Aid-Int1>3.0.Co;2-7 |
0.322 |
|
| 1998 |
Burhan Türkşen I, Kreinovich V, Yager RR. A new class of fuzzy implications. Axioms of fuzzy implication revisited Fuzzy Sets and Systems. 100: 267-272. DOI: 10.1016/S0165-0114(97)00066-3 |
0.303 |
|
| 1998 |
Cloteaux B, Eick C, Bouchon-Meunier B, Kreinovich V. From ordered beliefs to numbers: How to elicit numbers without asking for them (doable but computationally difficult) International Journal of Intelligent Systems. 13: 801-820. DOI: 10.1002/(Sici)1098-111X(199809)13:9<801::Aid-Int2>3.0.Co;2-M |
0.317 |
|
| 1998 |
Nguyen HT, Kreinovich V, Shekhter V. On the possibility of using complex values in fuzzy logic for representing inconsistencies International Journal of Intelligent Systems. 13: 683-714. DOI: 10.1002/(Sici)1098-111X(199808)13:8<683::Aid-Int1>3.0.Co;2-F |
0.373 |
|
| 1998 |
Nguyen HT, Kosheleva OM, Kreinovich V. Is the success of fuzzy logic really paradoxical?: Toward the actual logic behind expert systems International Journal of Intelligent Systems. 11: 295-326. DOI: 10.1002/(Sici)1098-111X(199605)11:5<295::Aid-Int4>3.0.Co;2-J |
0.356 |
|
| 1997 |
Nguyen HT, Kreinovich V. Intelligent control in space exploration Acm Signum Newsletter. 32: 17-36. DOI: 10.1145/260538.260540 |
0.311 |
|
| 1997 |
Nguyen HT, Kreinovich V, Zuo Q. Interval-Valued Degrees of Belief: Applications of Interval Computations to Expert Systems and Intelligent Control International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 5: 317-358. DOI: 10.1142/S0218488597000257 |
0.339 |
|
| 1997 |
Nguyen H, Kreinovich V, Nesterov V, Nakamura M. On hardware support for interval computations and for soft computing: theorems Ieee Transactions On Fuzzy Systems. 5: 108-127. DOI: 10.1109/91.554456 |
0.353 |
|
| 1997 |
Nguyen HT, Kreinovich V. From Numerical Intervals to Set Intervals (Interval-Related Results Presented at the First International Workshop on Applications and Theory of Random Sets) Reliable Computing. 3: 95-102. DOI: 10.1023/B:Reom.0000013418.91863.98 |
0.304 |
|
| 1997 |
Bouchon-Meunier B, Kosheleva O, Kreinovich V, Nguyen HT. Fuzzy numbers are the only fuzzy sets that keep invertible operations invertible Fuzzy Sets and Systems. 91: 155-163. DOI: 10.1016/S0165-0114(97)00137-1 |
0.342 |
|
| 1997 |
Finkelstein A, Kosheleva O, Kreinovich V. Astrogeometry: Toward mathematical foundations International Journal of Theoretical Physics. 36: 1009-1020. DOI: 10.1007/Bf02435798 |
0.31 |
|
| 1997 |
Kreinovich V, Longpré L. Nonstandard (non-σ-additive) probabilities in algebraic quantum field theory International Journal of Theoretical Physics. 36: 1601-1615. DOI: 10.1007/Bf02435759 |
0.305 |
|
| 1997 |
Kreinovich V, Bouchon-Meunier B. Granularity via nondeterministic computations: what we gain and what we lose International Journal of Intelligent Systems. 12: 469-481. DOI: 10.1002/(Sici)1098-111X(199706)12:6<469::Aid-Int3>3.0.Co;2-K |
0.328 |
|
| 1996 |
Koshelev M, Kreinovich V. Why monotonicity in interval computations? A remark Acm Signum Newsletter. 31: 4-8. DOI: 10.1145/242577.242578 |
0.331 |
|
| 1996 |
Finkelstein A, Kosheleva O, Kreinovich V. Astrogeometry, error estimation, and other applications of set-valued analysis Acm Signum Newsletter. 31: 3-25. DOI: 10.1145/242127.242129 |
0.363 |
|
| 1996 |
Lakeyev AV, Kreinovich V. “Interval rational = algebraic” revisited Acm Signum Newsletter. 31: 14-17. DOI: 10.1145/232794.232798 |
0.317 |
|
| 1996 |
Walster GW, Kreinovich V. For unknown-but-bounded errors, interval estimates are often better than averaging Acm Signum Newsletter. 31: 6-19. DOI: 10.1145/230922.230926 |
0.319 |
|
| 1996 |
KREINOVICH V, NGUYEN HT, SPRECHER DA. NORMAL FORMS FOR FUZZY LOGIC — AN APPLICATION OF KOLMOGOROV’S THEOREM International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 4: 331-349. DOI: 10.1142/S0218488596000196 |
0.337 |
|
| 1996 |
Bouchon-Meunier B, Kreinovich V, Lokshin A, Nguyen HT. On the formulation of optimization under elastic constraints (with control in mind) Fuzzy Sets and Systems. 81: 5-29. DOI: 10.1016/0165-0114(96)88181-4 |
0.327 |
|
| 1996 |
Nguyen HT, Kreinovich V, Sirisaengtaksin O. Fuzzy control as a universal control tool Fuzzy Sets and Systems. 80: 71-86. DOI: 10.1016/0165-0114(95)00263-4 |
0.311 |
|
| 1996 |
Kreinovich V. Interval methods that are guaranteed to underestimate (and the resulting new justification of Kaucher arithmetic) Reliable Computing. 2: 119-124. DOI: 10.1007/Bf02425913 |
0.328 |
|
| 1996 |
Lea RN, Kreinovich V, Trejo R. Optimal interval enclosures for fractionally-linear functions, and their application to intelligent control Reliable Computing. 2: 265-285. DOI: 10.1007/Bf02391700 |
0.743 |
|
| 1996 |
Kreinovich V. A quadratic-time algorithm for smoothing interval functions Reliable Computing. 2: 255-264. DOI: 10.1007/Bf02391699 |
0.34 |
|
| 1996 |
Ferregut C, Nazarian S, Vennalaganti K, Chang C-, Kreinovich V. Fast error estimates for indirect measurements: applications to pavement engineering Reliable Computing. 2: 219-228. DOI: 10.1007/Bf02391696 |
0.308 |
|
| 1996 |
Kreinovich V. Double bubble minimizes: Interval computations help in solving a long-standing geometric problem Reliable Computing. 2: 387-388. DOI: 10.1007/Bf02389899 |
0.301 |
|
| 1995 |
Kreinovich V. Book review: Handbook of Logic in Artificial Intelligence and Logic Programming. Volume 1. Logical Foundations. Edited by Dov M. Gabbay, C. J. Hogger, and J. A. Robinson (Claredon Press, Oxford, 1993 ) Acm Sigart Bulletin. 6: 45-47. DOI: 10.1145/201977.1065558 |
0.302 |
|
| 1995 |
NGUYEN HT, KREINOVICH V. TOWARDS THEORETICAL FOUNDATIONS OF SOFT COMPUTING APPLICATIONS International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 3: 341-373. DOI: 10.1142/S0218488595000177 |
0.36 |
|
| 1995 |
Kreinovich V, Kryeinovich V. Why intervals? A simple limit theorem that is similar to limit theorems from statistics Reliable Computing. 1: 33-40. DOI: 10.1007/Bf02390520 |
0.304 |
|
| 1995 |
Traylor B, Kreinovich V. A bright side of NP-hardness of interval computations: interval heuristics applied to NP-problems Reliable Computing. 1: 343-359. DOI: 10.1007/Bf02385263 |
0.322 |
|
| 1995 |
Misane O, Kreinovich V. A new characterization of the set of all intervals, based on the necessity to check consistency easily Reliable Computing. 1: 285-297. DOI: 10.1007/Bf02385259 |
0.311 |
|
| 1995 |
Friesen BH, Kreinovich V. Ockham's razor in interval identification Reliable Computing. 1: 225-237. DOI: 10.1007/Bf02385254 |
0.343 |
|
| 1995 |
Friesen B, Kreinovich V. How to improve mamdani's approach to fuzzy control International Journal of Intelligent Systems. 10: 947-957. DOI: 10.1002/Int.4550101103 |
0.336 |
|
| 1994 |
NGUYEN HT, KREINOVICH V, TOLBERT D. A MEASURE OF AVERAGE SENSITIVITY FOR FUZZY LOGICS International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 2: 361-375. DOI: 10.1142/S0218488594000304 |
0.308 |
|
| 1994 |
Ramer A, Kreinovich V. Maximum entropy approach to fuzzy control Information Sciences. 81: 235-260. DOI: 10.1016/0020-0255(94)90100-7 |
0.321 |
|
| 1993 |
Kreinovich V, Quintana C, Fuentes O. Genetic algorithms: what fitness scaling is optimal Cybernetics and Systems. 24: 9-26. DOI: 10.1080/01969729308961696 |
0.346 |
|
| 1991 |
Kreinovich V, Kumar S. How to help intelligent systems with different uncertainty representations cooperate with each other Cybernetics and Systems. 22: 217-222. DOI: 10.1080/01969729108902280 |
0.329 |
|
| 1991 |
Kreinovich V. Space-time isomorphism problem is intractable (NP-hard) International Journal of Theoretical Physics. 30: 1249-1257. DOI: 10.1007/Bf00671011 |
0.318 |
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