Title :
High order type-2 TSK fuzzy logic system
Author :
Ren, Qun ; Baron, Luc ; Balazinski, Marek
Author_Institution :
Dept. of Mech. Eng., Ecole Polytech. de Montreal, Montreal, QC
Abstract :
This paper presents the generalized type-2 Takagi- Sugeno-Kang (TSK) fuzzy logic system (FLS) in which the antecedent or consequent membership functions are type-2 fuzzy sets and the consequent part a first or higher order polynomial function. The architecture of the generalized type-2 TSK FLS and its inference engine are based on the Mendel´s first order type-2 TSK FLS. The design method of high order system is an extension of the subtractive clustering based type-2 TSK FLS identification algorithm.
Keywords :
fuzzy set theory; inference mechanisms; polynomials; Takagi- Sugeno-Kang fuzzy logic system; fuzzy sets; high order type-2 TSK fuzzy logic system; higher order polynomial function; inference engine; membership functions; subtractive clustering; Clustering algorithms; Design methodology; Engines; Function approximation; Fuzzy logic; Fuzzy sets; Fuzzy systems; Inference algorithms; Input variables; Polynomials;
Conference_Titel :
Fuzzy Information Processing Society, 2008. NAFIPS 2008. Annual Meeting of the North American
Conference_Location :
New York City, NY
Print_ISBN :
978-1-4244-2351-4
Electronic_ISBN :
978-1-4244-2352-1
DOI :
10.1109/NAFIPS.2008.4531215
