-
2
-
-
0031268161
-
A three-stage evolutionary process for learning descriptive and approximate fuzzy logic controller knowledge bases from examples
-
O. Cordón and F. Herrera. A three-stage evolutionary process for learning descriptive and approximate fuzzy logic controller knowledge bases from examples. International Journal of Approximate Reasoning, 17(4):369-407, 1997.
-
(1997)
International Journal of Approximate Reasoning
, vol.17
, Issue.4
, pp. 369-407
-
-
Cordón, O.1
Herrera, F.2
-
3
-
-
0032186838
-
Genetic learning of fuzzy rule-based classification systems cooperating with fuzzy reasoning methods
-
Nov.
-
O. Cordón, M. J. del Jesus, and F. Herrera. Genetic learning of fuzzy rule-based classification systems cooperating with fuzzy reasoning methods. International Journal of Intelligent Systems, 13(10-11):1025-1053, Nov. 1998.
-
(1998)
International Journal of Intelligent Systems
, vol.13
, Issue.10-11
, pp. 1025-1053
-
-
Cordón, O.1
Del Jesus, M.J.2
Herrera, F.3
-
4
-
-
0003201766
-
Genetic fuzzy systems: Evolutionary tuning and learning of fuzzy knowledge bases
-
World Scientific, Singapore
-
O. Cordón, F. Herrera, F. Hoffmann, and L. Magdalena. Genetic Fuzzy Systems: Evolutionary Tuning and Learning of Fuzzy Knowledge Bases. Advances in Fuzzy Systems. World Scientific, Singapore, 2001.
-
(2001)
Advances in Fuzzy Systems
-
-
Cordón, O.1
Herrera, F.2
Hoffmann, F.3
Magdalena, L.4
-
6
-
-
0032069167
-
Completeness and consistency conditions for learning fuzzy rules
-
A. González and R. Pérez. Completeness and consistency conditions for learning fuzzy rules. Fuzzy Sets and Systems, 96:37-51, 1998.
-
(1998)
Fuzzy Sets and Systems
, vol.96
, pp. 37-51
-
-
Gonzáez, A.1
Pérez, R.2
-
7
-
-
0000982905
-
Multi-stage genetic fuzzy systems based on the iterative rule learning approach
-
A. González and F. Herrera. Multi-stage genetic fuzzy systems based on the iterative rule learning approach. Mathware & Soft Computing, 4:233-249, 1997.
-
(1997)
Mathware & Soft Computing
, vol.4
, pp. 233-249
-
-
González, A.1
Herrera, F.2
-
8
-
-
0012781102
-
Evolutionary algorithms for fuzzy control system design
-
To appear in special issue on Industrial Innovation using Soft Computing
-
F. Hoffmann. Evolutionary algorithms for fuzzy control system design. Proceedings of the IEEE, 2001. To appear in special issue on Industrial Innovation using Soft Computing.
-
Proceedings of the IEEE, 2001
-
-
Hoffmann, F.1
-
9
-
-
0000719509
-
Voting in fuzzy rule-based systems for pattern classification problems
-
H. Ishibuchi, T. Nakashima, and T. Morisawa. Voting in fuzzy rule-based systems for pattern classification problems. Fuzzy Sets and Systems, 103:223-238, 1999.
-
(1999)
Fuzzy Sets and Systems
, vol.103
, pp. 223-238
-
-
Ishibuchi, H.1
Nakashima, T.2
Morisawa, T.3
-
10
-
-
0029359001
-
Selecting fuzzy if-then rules for classification problems using genetic algorithms
-
H. Ishibuchi, K. Nozaki, N. Yamamoto, and H. Tanaka. Selecting fuzzy if-then rules for classification problems using genetic algorithms. IEEE Transactions on Fuzzy Systems, 3(3):260-270, 1995.
-
(1995)
IEEE Transactions on Fuzzy Systems
, vol.3
, Issue.3
, pp. 260-270
-
-
Ishibuchi, H.1
Nozaki, K.2
Yamamoto, N.3
Tanaka, H.4
-
12
-
-
0000684645
-
Breast cancer diagnosis and prognosis via linear programming
-
W. S. O.L. Mangasarian and W. Wolberg. Breast cancer diagnosis and prognosis via linear programming. Operations Research, 43(4):570-577, 1995.
-
(1995)
Operations Research
, vol.43
, Issue.4
, pp. 570-577
-
-
Mangasarian, W.S.O.L.1
Wolberg, W.2
|