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Hybrid approach for fuzzy system design

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4 Author(s)
Ying, Li ; Department of Computer Science and Engineering, Northwest Polytechnical University, Xi'an 710072, P.R. China ; Rongchun, Zhao ; Yanning, Zhang ; Licheng, Jiao

A hybrid approach for fuzzy system design based on clustering and a kind of neurofuzzy networks is proposed. An unsupervised clustering technique is firstly used to determine the number of if-then fuzzy rules and generate an initial fuzzy rule base from the given input-output data. Then, a class of neurofuzzy networks is constructed and its weights are tuned so that the obtained fuzzy rule base has a high accuracy. Finally, two examples of function approximation problems are given to illustrate the effectiveness of the proposed approach.

Published in:

Systems Engineering and Electronics, Journal of  (Volume:15 ,  Issue: 3 )