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