An adaptive fuzzy rule extraction using hybrid model of the fuzzy self-organizing map and the genetic algorithm with numerical chromosomes

Article type: Research Article

Authors: Nomura, Tatsuya | Miyoshi, Tsutomu

Affiliations: ATR Human Information Processing Research Laboratories, 2-2, Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-02, Japan. Tel.: +81 774 95 1010; Fax: +81 774 95 1008; E-mail: [email protected] | Image Media Research Laboratories, Sharp Corporation, 1-9-2, Nakase, Mihama-ku, Chiba-shi, Chiba 261, Japan. Tel.: +81 43 299 8702; Fax: +81 43 299 8709; E-mail: [email protected]

Abstract: In this paper, we propose a hybrid model of the fuzzified Kohonen's Self-Organizing Map and the Genetic Algorithms with numerical chromosomes, and automatic fuzzy rule extraction method that uses our model. The results show the possibility of superiority of our hybrid model in a Lamarckian stance to both of the individual models in cases where there is a tendency for data to change dynamically and quickly.

Journal: Journal of Intelligent and Fuzzy Systems, vol. 6, no. 1, pp. 39-52, 1998