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