Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/23442
Title: Antecedent validity adaptation principle for fuzzy systems tuning
Authors: Chan, PT
Rad, AB
Keywords: Antecedent validity adaptation
Data modeling
Fuzzy clustering
Table look-up scheme
Issue Date: 2002
Publisher: Elsevier Science Bv
Source: Fuzzy sets and systems, 2002, v. 131, no. 2, p. 153-163 How to cite?
Journal: Fuzzy Sets and Systems 
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.
URI: http://hdl.handle.net/10397/23442
ISSN: 0165-0114
DOI: 10.1016/S0165-0114(02)00117-3
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