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About the use of fuzzy clustering techniques for fuzzy model identification

Authors
Journal
Fuzzy Sets and Systems
0165-0114
Publisher
Elsevier
Publication Date
Volume
106
Issue
2
Identifiers
DOI: 10.1016/s0165-0114(97)00276-5
Keywords
  • Fuzzy Clustering
  • Unsupervised Learning
  • Fuzzy Modelling
Disciplines
  • Computer Science

Abstract

Abstract 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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