Robust TSK fuzzy modeling approach using noise clustering concept for function approximation

Authors:
Kyoungjung Kim;Kyu Min Kyung;Chang-Woo Park;Euntai Kim;Mignon Park
Affiliations:
Department of electrical and electronic engineering, Yonsei University, Seoul, Korea;Department of electrical and electronic engineering, Yonsei University, Seoul, Korea;Korea electronics technology institute, Kyunggi-Do, Korea;Department of electrical and electronic engineering, Yonsei University, Seoul, Korea;Department of electrical and electronic engineering, Yonsei University, Seoul, Korea
Venue:
CIS'04 Proceedings of the First international conference on Computational and Information Science
Year:
2004

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Abstract

This paper proposes the algorithm that additional term is added to an objective function of noise clustering algorithm to define fuzzy subspaces in a fuzzy regression manner to identify fuzzy subspaces and parameters of the consequent parts simultaneously and obtain robust performance against outliers.