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
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;
Conference_Titel :
Fuzzy Information Processing Society (NAFIPS), 2011 Annual Meeting of the North American
Conference_Location :
El Paso, TX
Print_ISBN :
978-1-61284-968-3
Electronic_ISBN :
Pending
DOI :
10.1109/NAFIPS.2011.5752023
