Title :
A method for structure identification in complete rule-based fuzzy systems
Author :
Pomares, H. ; Rojas, I. ; González, J. ; Prieto, A.
Author_Institution :
Fac. de Ciencias, Granada Univ., Spain
fDate :
6/23/1905 12:00:00 AM
Abstract :
This paper presents a reliable method to obtain the structure of a complete rule-based fuzzy system for a specific approximation accuracy of the training data, i.e. it can decide which input variables must be taken into account in the fuzzy system and how many membership functions are needed in every selected input variable in order to reach the approximation target with the minimum number of parameters
Keywords :
approximation theory; fuzzy systems; identification; knowledge based systems; learning (artificial intelligence); uncertainty handling; approximation target; complete rule-based fuzzy systems; fuzzy membership functions; input variable; input variables; minimum parameter number; structure identification; training data approximation accuracy; Bibliographies; Computer architecture; Electronic mail; Fuzzy control; Fuzzy sets; Fuzzy systems; Input variables; Optimization methods; Topology; Training data;
Conference_Titel :
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Conference_Location :
Melbourne, Vic.
Print_ISBN :
0-7803-7293-X
DOI :
10.1109/FUZZ.2001.1007327
