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Results: 1-23 |
Results: 23

Authors: Nguyen, HT Prasad, NR Kreinovich, V Gassoumi, H
Citation: Ht. Nguyen et al., Some practical applications of soft computing and data mining, STUD FUZZ S, 68, 2001, pp. 273-307

Authors: Gibson, S Kreinovich, V Longpre, L Penn, B Starks, SA
Citation: S. Gibson et al., Intelligent mining in image databases, with applications to satellite imaging and to Web search, STUD FUZZ S, 68, 2001, pp. 309-336

Authors: Phuong, NH Kreinovich, V
Citation: Nh. Phuong et V. Kreinovich, Fuzzy logic and its applications in medicine, INT J MED I, 62(2-3), 2001, pp. 165-173

Authors: Goodman, IR Kreinovich, V
Citation: Ir. Goodman et V. Kreinovich, On representation and approximation of operations in Boolean algebras, INT J INTEL, 16(5), 2001, pp. 647-653

Authors: Kreinovich, V
Citation: V. Kreinovich, Allowing two moves in succession increases the game's bias: A theorem, INT J INTEL, 16(2), 2001, pp. 209-213

Authors: Harary, F Kreinovich, V Longpre, L
Citation: F. Harary et al., A new graph characteristic and its application to numerical computability, INF PROCESS, 77(5-6), 2001, pp. 277-282

Authors: Alefeld, G Kreinovich, V Mayer, G
Citation: G. Alefeld et al., Modifications of the Oettli-Prager theorem with application to the Eigenvalue problem, SYMBOLIC ALGEBRAIC METHODS AND VERIFICATION METHODS, 2001, pp. 11-20

Authors: Kreinovich, V Nguyen, HT Yam, Y
Citation: V. Kreinovich et al., Fuzzy systems are universal approximators for a smooth function and its derivatives, INT J INTEL, 15(6), 2000, pp. 565-574

Authors: Kreinovich, V Yam, Y
Citation: V. Kreinovich et Y. Yam, Why clustering in function approximation? Theoretical explanation, INT J INTEL, 15(10), 2000, pp. 959-966

Authors: Yager, RR Kreinovich, V
Citation: Rr. Yager et V. Kreinovich, Fair division under interval uncertainty, INT J UNC F, 8(5), 2000, pp. 611-618

Authors: Baral, C Kreinovich, V Trejo, R
Citation: C. Baral et al., Computational complexity of planning and approximate planning in the presence of incompleteness, ARTIF INTEL, 122(1-2), 2000, pp. 241-267

Authors: Kreinovich, V
Citation: V. Kreinovich, Beyond interval systems: What is feasible and what is algorithmically solvable?, NONC OPTIM, 42, 2000, pp. 364-379

Authors: Yager, RR Kreinovich, V
Citation: Rr. Yager et V. Kreinovich, Decision making under interval probabilities, INT J APPRO, 22(3), 1999, pp. 195-215

Authors: Gehrke, M Kreinovich, V Bouchon-Meunier, B
Citation: M. Gehrke et al., Propositional fuzzy logics: Decidable for some (algebraic) operators; Undecidable for more complicated ones, INT J INTEL, 14(9), 1999, pp. 935-947

Authors: Nguyen, HT Kreinovich, V
Citation: Ht. Nguyen et V. Kreinovich, How to divide a territory? A new simple differential formalism for optimization of set functions, INT J INTEL, 14(3), 1999, pp. 223-251

Authors: Kreinovich, V Phuong, NH Ohsato, A
Citation: V. Kreinovich et al., Special issue on Fuzzy systems and their applications - Introduction, INT J UNC F, 7(4), 1999, pp. 289-292

Authors: Nguyen, HT Kreinovich, V Wu, BL
Citation: Ht. Nguyen et al., Fuzzy/probability similar to fractal/smooth, INT J UNC F, 7(4), 1999, pp. 363-370

Authors: Kreinovich, V
Citation: V. Kreinovich, Coincidences are not accidental: A theorem, CYBERN SYST, 30(5), 1999, pp. 429-440

Authors: Yamakawa, T Kreinovich, V
Citation: T. Yamakawa et V. Kreinovich, Why fundamental physical equations are of second order, INT J THEOR, 38(6), 1999, pp. 1763-1769

Authors: Bouchon-Meunier, B Kreinovich, V
Citation: B. Bouchon-meunier et V. Kreinovich, Fuzzy modus ponens as a calculus of logical modifiers: Towards Zadeh's vision of implication calculus, INF SCI, 116(2-4), 1999, pp. 219-227

Authors: Kreinovich, V Longpre, L
Citation: V. Kreinovich et L. Longpre, Why Kolmogorov complexity in physical equations?, INT J THEOR, 37(11), 1998, pp. 2791-2801

Authors: Nguyen, HT Kreinovich, V
Citation: Ht. Nguyen et V. Kreinovich, Methodology of fuzzy control: An introduction, HDB FUZ SET, 2, 1998, pp. 19-62

Authors: Kreinovich, V Mouzouris, GC Nguyen, HT
Citation: V. Kreinovich et al., Fuzzy rule based modeling as a universal approximation tool, HDB FUZ SET, 2, 1998, pp. 135-195
Risultati: 1-23 |