DocumentCode
2974987
Title
Hierarchical genetic algorithms for optimal type-2 fuzzy system design
Author
Melin, Patricia ; Sanchez, Daniela ; Cervantes, Leticia
Author_Institution
Tijuana Inst. Technol., Tijuana, Mexico
fYear
2011
fDate
18-20 March 2011
Firstpage
1
Lastpage
6
Abstract
In this paper we describe the application of genetic algorithms for optimal type-2 fuzzy system design. We illustrate the approach with two cases, one of designing optimal neural networks and the other of fuzzy control. Simulation results show the feasibility of the proposed approach of using hierarchical genetic algorithms for designing type-2 fuzzy systems.
Keywords
control system synthesis; fuzzy control; fuzzy systems; genetic algorithms; neurocontrollers; optimal control; fuzzy control; hierarchical genetic algorithm; optimal neural networks; optimal type-2 fuzzy system design; Artificial neural networks; Fuzzy control; Fuzzy logic; Genetic algorithms; Humans; Iris recognition; Genetic Algorithm; Granular Computing; Type-2 Fuzzy system;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society (NAFIPS), 2011 Annual Meeting of the North American
Conference_Location
El Paso, TX
ISSN
Pending
Print_ISBN
978-1-61284-968-3
Electronic_ISBN
Pending
Type
conf
DOI
10.1109/NAFIPS.2011.5752023
Filename
5752023
Link To Document