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
fDate :
2/16/1995 12:00:00 AM
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;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19950163
