DocumentCode
2637725
Title
Automatic Selection of Fuzzy Models Based on User´s Data
Author
Bai, Lu ; Ding, Liya
Author_Institution
Macau Univ. of Sci. & Technol., Taipa
fYear
2008
fDate
18-20 June 2008
Firstpage
370
Lastpage
370
Abstract
There have been different fuzzy models and inference methods developed for various applications, how to choose a suitable one for specific problem solving is an issue for the development of intelligent systems. In this article, an algorithm is proposed for automatic selection of fuzzy model and method based on user´s data.
Keywords
fuzzy reasoning; fuzzy set theory; fuzzy systems; knowledge based systems; problem solving; automatic fuzzy model selection; fuzzy inference method; fuzzy rule base; fuzzy set theory; fuzzy system; intelligent system development; problem solving; Databases; Fuzzy control; Fuzzy reasoning; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Inference algorithms; Intelligent systems; Power system modeling; Problem-solving;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location
Dalian, Liaoning
Print_ISBN
978-0-7695-3161-8
Electronic_ISBN
978-0-7695-3161-8
Type
conf
DOI
10.1109/ICICIC.2008.180
Filename
4603559
Link To Document