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An evolutionary paradigm for designing fuzzy rule-based systems from examples

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4 Author(s)
Cordon, O. ; Dept. de Ciencias de la Comput. e Inteligencia Artificial, Granada Univ., Spain ; Jose del Jesus, M. ; Herrera, F. ; Lozano, M.

The main aim of this paper is to present a methodology for designing fuzzy rule-based systems from examples based on evolutionary algorithms. This methodology consists of some design guidelines that allow us to obtain different genetic fuzzy rule-based systems, i.e., evolutionary algorithm-based processes to design fuzzy rule-based systems by learning and/or tuning the knowledge base, following the same generic structure and able to cope with problems of different nature. A specific genetic fuzzy rule-based systems obtained from the paradigm proposed is introduced and its accuracy in the fuzzy modeling of two three-dimensional surfaces is analyzed

Published in:

Genetic Algorithms in Engineering Systems: Innovations and Applications, 1997. GALESIA 97. Second International Conference On (Conf. Publ. No. 446)

Date of Conference:

2-4 Sep 1997