Antecedent validity adaptation principle for fuzzy systems tuning

Authors:
P. T. Chan;A. B. Rad
Affiliations:
Department of Electrical Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong;Department of Electrical Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong
Venue:
Fuzzy Sets and Systems - Modeling and control
Year:
2002

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Abstract

This paper proposes an antecedent validity adaptation (AVA) principle for fuzzy systems tuning. It is suggested that the fuzzy rules may be updated with respect to the validity of antecedents. This adaptation principle agrees with the human intuition and fuzzy logic reasoning. The principle is first applied to table look-up (TL) scheme to model recorded data; an on-line fuzzy identification algorithm is also proposed. Next, the principle is applied to fuzzy clustering algorithm. These methods are successfully applied to model nonlinear systems.