T-S fuzzy affine linear modeling algorithm by possibilistic c-regression models clustering algorithm

descriptionPublicationkeyboard_double_arrow_right Article 01 Jul 2014Publisher:IEEEJournal:2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

Authors: Chung-Chun Kung; Hong-Chi Ku;

doi: 10.1109/fuzz-ieee.2014.6891768

T-S fuzzy affine linear modeling algorithm by possibilistic c-regression models clustering algorithm

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Abstract

This paper presents a Takagi-Sugeno (T-S) fuzzy affine linear modeling algorithm by the possibilistic c-regression models (PCRM) clustering algorithm. We apply the PCRM to partition the given input-output data into hyper-plane-shaped clusters (regression models). We choose the suitable number of cluster by the cluster validity criterion and then to construct the T-S fuzzy affine linear model. A simulation example is provided to demonstrate the effectiveness of the T-S fuzzy affine linear modeling algorithm.

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Tatung University
Taiwan

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