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Results:
1-11
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Results: 11
Authors:
Setnes, M
Babuska, R
Citation: M. Setnes et R. Babuska, Rule base reduction: Some comments on the use of orthogonal transforms, IEEE SYST C, 31(2), 2001, pp. 199-206
Authors:
Roubos, H
Setnes, M
Citation: H. Roubos et M. Setnes, Compact and transparent fuzzy models and classifiers through iterative complexity reduction, IEEE FUZ SY, 9(4), 2001, pp. 516-524
Authors:
Setnes, M
Kaymak, U
Citation: M. Setnes et U. Kaymak, Fuzzy modeling of client preference from large data sets: An application to target selection in direct marketing, IEEE FUZ SY, 9(1), 2001, pp. 153-163
Authors:
Setnes, M
Roubos, H
Citation: M. Setnes et H. Roubos, GA-fuzzy modeling and classification: Complexity and performance, IEEE FUZ SY, 8(5), 2000, pp. 509-522
Authors:
Setnes, M
Citation: M. Setnes, Supervised fuzzy clustering for rule extraction, IEEE FUZ SY, 8(4), 2000, pp. 416-424
Authors:
Setnes, M
Babuska, R
Citation: M. Setnes et R. Babuska, Fuzzy modeling for predictive control, FUZZY CONTROL: SYNTHESIS AND ANALYSIS, 2000, pp. 23-46
Authors:
Setnes, M
Babuska, R
Citation: M. Setnes et R. Babuska, Fuzzy relational classifier trained by fuzzy clustering, IEEE SYST B, 29(5), 1999, pp. 619-625
Authors:
Sousa, JMD
Setnes, M
Citation: Jmd. Sousa et M. Setnes, Fuzzy predictive filters in model predictive control, IEEE IND E, 46(6), 1999, pp. 1225-1232
Authors:
Babuska, R
Setnes, M
Citation: R. Babuska et M. Setnes, Data-driven construction of transparent fuzzy models, INT S INTEL, 1999, pp. 83-106
Authors:
Setnes, M
Lacrose, V
Titli, A
Citation: M. Setnes et al., Complexity reduction methods for fuzzy systems, INT S INTEL, 1999, pp. 185-218
Authors:
Setnes, M
Lemke, HRV
Kaymak, U
Citation: M. Setnes et al., Fuzzy arithmetic-based interpolative reasoning for nonlinear dynamic fuzzysystems, ENG APP ART, 11(6), 1998, pp. 781-789
Risultati:
1-11
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