Modified Gath-Geva fuzzy clustering for identification of Takagi-Sugeno fuzzy models

The construction of interpretable Takagi-Sugeno (TS) fuzzy models by means of clustering is addressed. First, it is shown how the antecedent fuzzy sets and the corresponding consequent parameters of the TS model can be derived from clusters obtained by the Gath-Geva (GG) algorithm. To preserve the p...

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Bibliographic Details
Published in:	IEEE transactions on systems, man and cybernetics. Part B, Cybernetics Vol. 32; no. 5; pp. 612 - 621
Main Authors:	Abonyi, J., Babuska, R., Szeifert, F.
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.10.2002
Subjects:	Algorithms Clustering Clustering algorithms Cybernetics Fuzzy Fuzzy logic Fuzzy set theory Fuzzy sets Fuzzy systems Gaussian Input variables Mathematical models Multidimensional systems Nonlinear systems Optimization methods Partitioning algorithms Predictive models Takagi-Sugeno model
ISSN:	1083-4419
Online Access:	Get full text
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