-
1
-
-
0011521460
-
Techniques for learning and tuning fuzzy rule-based systems for linguistic modeling and their application
-
Leondes, C.T. (ed.)
-
Alcala, R., Casillas, J., Cordon, O., Herera, F. and Zwir, S.J.I. (1999). Techniques for Learning and Tuning Fuzzy Rule-Based Systems for Linguistic Modeling and Their Application, in Leondes, C.T. (ed.), Knowledge Engineering, Systems, Techniques and Applications.
-
(1999)
Knowledge Engineering, Systems, Techniques and Applications
-
-
Alcala, R.1
Casillas, J.2
Cordon, O.3
Herera, F.4
Zwir, S.J.I.5
-
2
-
-
0012280862
-
A new method for generating fuzzy rules from numerical data for handling classification problems
-
Chen, S.M., Lee, S.H. and Lee, C.H. (2001). A New Method for Generating Fuzzy Rules from Numerical Data for Handling Classification Problems. Applied Artificial Intelligence, 15: 645-664.
-
(2001)
Applied Artificial Intelligence
, vol.15
, pp. 645-664
-
-
Chen, S.M.1
Lee, S.H.2
Lee, C.H.3
-
3
-
-
0037119219
-
Fuzzy classification trees for data analysis
-
Chiang, I. J. and Hsu Y. J. (2002). Fuzzy Classification Trees for Data Analysis. Fuzzy Sets and Systems, 130: 87-99.
-
(2002)
Fuzzy Sets and Systems
, vol.130
, pp. 87-99
-
-
Chiang, I.J.1
Hsu, Y.J.2
-
4
-
-
0030577310
-
What are fuzzy rules and how to use them
-
Dubois, D. and Prade, H. (1996). What Are Fuzzy Rules and How to Use Them. Fuzzy Sets and Systems, 84: 169-185.
-
(1996)
Fuzzy Sets and Systems
, vol.84
, pp. 169-185
-
-
Dubois, D.1
Prade, H.2
-
5
-
-
0038461257
-
-
Unpublished Technical Report, Department of Computer Science and Artificial Intelligence, Universidad de Granada
-
Herera, F. and Herera-Viedma, E. (1995). Aggregation Operators for Weighted Linguistic Information, Unpublished Technical Report, Department of Computer Science and Artificial Intelligence, Universidad de Granada.
-
(1995)
Aggregation Operators for Weighted Linguistic Information
-
-
Herera, F.1
Herera-Viedma, E.2
-
6
-
-
0030289773
-
Induction of fuzzy rules and membership functions from training examples
-
Hong, T.P. and Lee, C.Y. (1996). Induction of Fuzzy Rules and Membership Functions from Training Examples. Fuzzy Sets and Systems, 84(1): 33-47.
-
(1996)
Fuzzy Sets and Systems
, vol.84
, Issue.1
, pp. 33-47
-
-
Hong, T.P.1
Lee, C.Y.2
-
10
-
-
0034207737
-
A modular approach to generating fuzzy rules with reduced attributes for the monitoring of complex systems
-
Shen, Q. and Chouchoulas, A. (2000). A Modular Approach to Generating Fuzzy Rules with Reduced Attributes for the Monitoring of Complex Systems. Engineering Applications of Artificial Intelligence, 13 (3): 263-278.
-
(2000)
Engineering Applications of Artificial Intelligence
, vol.13
, Issue.3
, pp. 263-278
-
-
Shen, Q.1
Chouchoulas, A.2
-
12
-
-
0035501962
-
A new approach to fuzzy rule generation: Fuzzy extension matrix
-
Wang, X.Z., Wang, Y.D., Xu, X.F., Ling, W.D. and Yeung, D.S. (2001). A New Approach to Fuzzy Rule Generation: Fuzzy Extension Matrix. Fuzzy Sets and Systems, 123: 291-306.
-
(2001)
Fuzzy Sets and Systems
, vol.123
, pp. 291-306
-
-
Wang, X.Z.1
Wang, Y.D.2
Xu, X.F.3
Ling, W.D.4
Yeung, D.S.5
-
13
-
-
0000868331
-
Induction of fuzzy decision trees
-
Yuan, Y. and Shaw, M.J. (1995). Induction of Fuzzy Decision Trees. Fuzzy Set and Systems, 69(2): 125-139.
-
(1995)
Fuzzy Set and Systems
, vol.69
, Issue.2
, pp. 125-139
-
-
Yuan, Y.1
Shaw, M.J.2
|