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About the use of fuzzy clustering techniques for fuzzy model identification

✍ Scribed by A.F. Gómez-Skarmeta; M. Delgado; M.A. Vila

Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
811 KB
Volume
106
Category
Article
ISSN
0165-0114

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✦ Synopsis

In this work we present an alternative approach to generate fuzzy rules with a functional consequent associated to the TSK fuzzy model. In our case, using fuzzy clustering algorithms that look for linear behaviours in the product space of the input-output data, we analyse different methods to generate the associated fuzzy rules using in some cases multidimensional reference fuzzy sets in the product space of the input variables and in other cases fuzzy sets in each of the different dimensions. In any case the rules being generated correspond to a TSK fuzzy model.

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