DocumentCode :
315332
Title :
Application of the coevolutionary system to the fuzzy model design
Author :
Wloszek, A. ; Domanski, Pawel D.
Author_Institution :
Inst. of Control & Comput. Eng., Warsaw Univ. of Technol., Poland
Volume :
1
fYear :
1997
fDate :
1-5 Jul 1997
Firstpage :
391
Abstract :
This paper presents the decision rules searching algorithm for fuzzy systems based on the coevolutionary notion. The classical rule extraction problem is decomposed to the several cooperating systems. Each sub-system is based on the evolutionary strategy, and coevolution is obtained through the fitness function calculations and ranking rules selection. The method is tested on real dynamic systems
Keywords :
fuzzy logic; fuzzy set theory; fuzzy systems; genetic algorithms; inference mechanisms; modelling; search problems; classical rule extraction problem; coevolutionary system; cooperating systems; decision rules searching algorithm; dynamic systems; evolutionary strategy; fitness function; fuzzy model design; fuzzy systems; ranking rules selection; Biological cells; Control engineering computing; Decoding; Fuzzy logic; Fuzzy sets; Fuzzy systems; Genetics; Input variables; Neural networks; System testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7803-3796-4
Type :
conf
DOI :
10.1109/FUZZY.1997.616400
Filename :
616400
Link To Document :
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