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A new aspect for the optimization of fuzzy if-then rules

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2 Author(s)
Moraga, Claudio ; Dept. of Comput. Sci., Dortmund Univ., Germany ; Salas, R.

Evolutionary optimization of fuzzy if-then rules for approximation is an area of research that has received much attention in the last years. The present paper adds a new possibility by proposing a method for data-driven reshaping or designing the uncertainty transitions of piecewise linear fuzzy sets representing the linguistic terms of the fuzzy rules.

Published in:
Multiple-Valued Logic, 2005. Proceedings. 35th International Symposium on

Date of Conference: 19-21 May 2005

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