Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolution.
Rafael Alcalá, Jorge Casillas, Óscar Cordón, Francisco Herrera · European Society for Fuzzy Logic and Technology Conference · 2001
This paper presents the use of weighted double-consequent rules to improve the accuracy of the fuzzy linguistic models. However, the use of these kinds of rules makes significantly more complex the modeling and learning process. To solve this problem, we use an advanced evolutionary technique, the cooperative coevolutionary model.