DocumentCode :
2804301
Title :
Hybrid Intelligent Systems: A Study on Genetic Algorithms and Fuzzy Approaches
Author :
de Macedo, L.F.K. ; Dimuro, Graçaliz P. ; de Aguiar, Marilton S.
Author_Institution :
Prog. de Pos-Grad. em Modelagem Computacional (PPGMC), Univ. Fed. do Rio Grande (FURG), Rio Grande, Brazil
fYear :
2011
fDate :
24-26 Aug. 2011
Firstpage :
138
Lastpage :
144
Abstract :
This work presents a study of the area of hybrid systems, conceptual aspects and application of methods of artificial intelligence and soft computing are considered. The main concepts of fuzzy sets and fuzzy logic are given, including the intervalar fuzzy logic. In addition, it presents a discussion of the possibilities of integrating genetic algorithms and fuzzy inference systems.
Keywords :
fuzzy logic; fuzzy reasoning; fuzzy set theory; genetic algorithms; artificial intelligence; fuzzy inference systems; fuzzy sets; genetic algorithms; hybrid intelligent systems; intervalar fuzzy logic; soft computing; Artificial intelligence; Computational modeling; Fuzzy logic; Genetic algorithms; Hybrid intelligent systems; Materials; Monitoring; fuzzy genetic algorithms; fuzzy logic; genetic algorithms; hybrid intelligent systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Theoretical Computer Science (WEIT), 2011 Workshop-School on
Conference_Location :
Pelotas, RS
Print_ISBN :
978-1-4673-0225-8
Type :
conf
DOI :
10.1109/WEIT.2011.14
Filename :
6114794
Link To Document :
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