DocumentCode
758438
Title
Linguistic model identification for fuzzy system
Author
Joo, Y.H. ; Hwang, H.-S. ; Kim, K.B. ; Woo, K.B.
Author_Institution
Dept. of Electr. Eng., Yonsei Univ., Seoul, South Korea
Volume
31
Issue
4
fYear
1995
fDate
2/16/1995 12:00:00 AM
Firstpage
330
Lastpage
331
Abstract
A simple identification method that realises fuzzy modelling using the input and output data pairs of a system is developed. The proposed method consists of two parts: one is to find the suitable number of rules and the other is to identify the parameters of fuzzy inference rules. A numerical example is provided to evaluate the feasibility of the proposed approach. Comparison shows that the suggested approach can produce a fuzzy model with higher accuracy than achieved previously in other methods
Keywords
computational linguistics; fuzzy systems; identification; model-based reasoning; fuzzy inference rules; fuzzy modelling; fuzzy system; input data pairs; linguistic model identification; output data pairs;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19950163
Filename
375824
Link To Document