Similarity Criterion for Fuzzy Sets Defining in Fuzzy System

Author

Zhinong, Miao ; Weigen, Wu

Author_Institution

Sch. of Electron. Eng. & Inf., Panzhihua Univ., Panzhihua, China

Volume

2

fYear

2010

fDate

23-24 Oct. 2010

Firstpage

570

Lastpage

573

Abstract

Fuzzy logic theory provides the most suitable tool for transforming verbal descriptions into mathematical models. Fuzzy modeling has great adaptability to the variations of system configuration and operation conditions. The fuzzy sets definition of a fuzzy system will influence the fuzzy inference performance, there is not a perfect criterion for fuzzy sets defining. A criterion via fuzzy similarity is prompted to evaluate the rationality of fuzzy sets which are defined in the universe of discourse. And an improved back-propagation algorithm is prompted based on the criterion.

Keywords

backpropagation; fuzzy logic; fuzzy set theory; fuzzy systems; inference mechanisms; back-propagation algorithm; fuzzy inference performance; fuzzy logic theory; fuzzy modeling; fuzzy set similarity; fuzzy system; mathematical models; operation conditions; system configuration; verbal descriptions; Adaptation model; Algorithm design and analysis; Fuzzy sets; Fuzzy systems; Inference algorithms; Input variables; Sensitivity; fuzzy inference; fuzzy set; refined BP algorithm; similarity;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on

Conference_Location

Sanya

Print_ISBN

978-1-4244-8432-4

Type

conf

DOI

10.1109/AICI.2010.239

Filename

5657069