Title :
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
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;
Conference_Titel :
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-8432-4
DOI :
10.1109/AICI.2010.239
