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A New Aspect for the Optimization of Fuzzy If-Then Rules
University of Calgary, Canada May 19-May 21
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ISMVL.2005.335th International Symposium on Multi ...
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Claudio Moraga, University of Dortmund, Germany
Rodrigo Salas, University of Valpara?so, Chile
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.
Index Terms:
Fuzzy if-then rules, order automorphisms, evolutionary algorithms
Citation:
Claudio Moraga, Rodrigo Salas, "A New Aspect for the Optimization of Fuzzy If-Then Rules," ismvl, pp.160-165, 35th International Symposium on Multiple-Valued Logic (ISMVL'05), 2005
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