J.M. Benítez, J.L. Castro, I. Requena,
Are artificial neural networks black boxes?, IEEE Trans. on Neural Networks
(1997) 1156-1164.
J.M. Benítez, J.L. Castro, I. Requena,
A distributed fuzzy rule extraction method, Proc. of 7th IFSA Congress,
1997.
L.M. de Campos, A. González, A fuzzy
inference model based on a uncertainty forward propagation approach, Int.
Journal of Approximate Reasoning 9 (1993) 139-164.
J.L. Castro, J.J. Castro, J.M. Zurita, The
influence of implications functions in fuzzy logic controllers with defuzzification
first and aggregation after, Proc. of 7th IFSA Congr., 1997, Vol. III,
pp. 237-242.
O. Cordón, F. Herrera, A. Peregrín,
Applicability of the fuzzy operators in the design of fuzzy logic controllers,
Fuzzy Sets and Systems 86 (1997) 15-41. [Full
text]
O. Cordón, F. Herrera, A three-stage
evolutionary process for learning descriptive and approximate fuzzy-logic-controller
knowledge bases from examples, Int. Journal of Approximate Reasoning 17
(1997) 369-407. [Full
text]
M. Delgado, A. González, A frequency
model in a fuzzy environment, Int. Journal of Approximate Reasoning 11
(1994) 159-174.
A. González, A learning methodology
in uncertain and imprecise environments, Int. Journal of Intelligent Systems
19 (1995) 357-371.
A. González, R. Pérez, Completeness
and consistency conditions for learning fuzzy rules, Fuzzy Sets and Systems
96 (1998) 37-51. [Full
text]
A. González, R. Pérez, SLAVE:
A genetic learning system based on an iterative approach, IEEE Trans. on
Fuzzy Systems.
A. González, R. Pérez, A fuzzy
theory refinement algorithm, Int. Journal of Approximate Reasoning 19 (1998)
193-220. [Full
text]
F. Herrera, M. Lozano, J.L. Verdegay, Tuning
fuzzy controllers by genetic algorithms, Int. Journal of Approximate Reasoning
12 (1995) 299-315. [abstract]
Click here
to found the Technical Report corresponding to some of these papers.
