A New Aspect for the Optimization of Fuzzy If-Then Rules
Carlos Moraga, Rodrigo Salas F · 2005
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.