Improvement of the Cluster Searching Algorithm in Sugeno and Yasukawa's Qualitative Modeling Approach

Authors:
Kok Wai Wong;László T. Kóczy;Tamás D. Gedeon;A. Chong;Domonkos Tikk
Affiliations:
-;-;-;-;-
Venue:
Proceedings of the International Conference, 7th Fuzzy Days on Computational Intelligence, Theory and Applications
Year:
2001

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Abstract

Fuzzy modeling has become very popular because of its main feature being the ability to assign meaningful linguistic labels to the fuzzy sets in the rule base. This paper examines Sugeno and Yasukawa's qualitative modeling approach, and addresses one of the remarks in the original paper. We propose a cluster search algorithm that can be used to provide a better projection of the output space to the input space. This algorithm can efficiently identify two or more fuzzy clusters in the input space that have the same output fuzzy cluster.