A New Aspect for the Optimization of Fuzzy If-Then Rules

Authors:
Claudio Moraga;Rodrigo Salas
Affiliations:
University of Dortmund, Germany;University of Valparaíso, Chile
Venue:
ISMVL '05 Proceedings of the 35th International Symposium on Multiple-Valued Logic
Year:
2005

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Abstract

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 datadriven reshaping or designing the uncertainty transitions of piecewise linear fuzzy sets representing the linguistic terms of the fuzzy rules.