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Processamento de conhecimento impreciso combinando raciocínio de ontologias fuzzy e sistemas de inferência fuzzy
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCC, 2013-12-13)
In Computer Science, ontologies are used for knowledge representation in a number of applications, aiming to structure and handle domain semantics through models shared by humans and computational systems. Although traditional ...
Fuzzy Control of Chaos
(1998)
Efficient parametric adjustment of fuzzy inference system using unconstrained optimization
(2007-12-01)
This paper presents a new methodology for the adjustment of fuzzy inference systems, which uses technique based on error back-propagation method. The free parameters of the fuzzy inference system, such as its intrinsic ...
Efficient parametric adjustment of fuzzy inference system using unconstrained optimization
(2007-12-01)
This paper presents a new methodology for the adjustment of fuzzy inference systems, which uses technique based on error back-propagation method. The free parameters of the fuzzy inference system, such as its intrinsic ...
Tuning of fuzzy inference systems through unconstrained optimization techniques
(2003-12-01)
This paper presents a new methodology for the adjustment of fuzzy inference systems. A novel approach, which uses unconstrained optimization techniques, is developed in order to adjust the free parameters of the fuzzy ...
Tuning of fuzzy inference systems through unconstrained optimization techniques
(2003-12-01)
This paper presents a new methodology for the adjustment of fuzzy inference systems. A novel approach, which uses unconstrained optimization techniques, is developed in order to adjust the free parameters of the fuzzy ...