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Generation of Fuzzy Rules by Mountain Clustering

Article type: Research Article

Authors: Yager, Ronald R. | Filev, Dimitar P.

Affiliations: Machine Intelligence Institute, lona College, New Rochelle, NY 10801

Abstract: We develop, based upon the mountain clustering method, a procedure for learning fuzzy systems models from data. First we discuss the mountain clustering method. We then show how it could be used to obtain the structure of fuzzy systems models. The initial estimates of this model are obtained from the cluster centers. We then use a back propagation algorithm to tune the model.

DOI: 10.3233/IFS-1994-2301

Journal: Journal of Intelligent and Fuzzy Systems, vol. 2, no. 3, pp. 209-219, 1994

Received April 1993
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Accepted January 1994
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Published: 1994
Price: EUR 27.50
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