Fuzzy rules optimization and logic synthesis
Riccardo Rovatti, R. Guerrieri, Giorgio Baccarani · 2002
A new methodology for the minimization of a given set of fuzzy rules is presented. It is based on a novel mapping of fuzzy relations on Boolean networks and exploits existing Boolean synthesis algorithms. The formal consistency of the approach depends on a fuzzy semantic which easily generalizes most of the existing models. The technique has been applied to the fuzzy identification of nonlinear systems, reducing the number of rules by up to an order of magnitude.>