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Linguistic model identification for fuzzy system

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4 Author(s)
Joo, Y.H. ; Dept. of Electr. Eng., Yonsei Univ., Seoul, South Korea ; Hwang, H.-S. ; Kim, K.B. ; Woo, K.B.

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

Published in:

Electronics Letters  (Volume:31 ,  Issue: 4 )