Title :
A New Fuzzy Systems Design and Optimization Approach Using Genetic Algorithms
Author :
Cuomo, Pietro ; Di Lascio, Luigi
Author_Institution :
Salerno Univ., Fisciano
Abstract :
In this paper we present an extension of a fuzzy method able to optimize fuzzy rule-based system using genetic algorithms. Our approach is a design and tuning process based on a high fuzzy set adaptability and both rule/fuzzy set learning that allow the algorithm itself the chromosomes rearrangement. Several experiments have been carried out showing promising performance.
Keywords :
fuzzy set theory; genetic algorithms; chromosomes rearrangement; fuzzy rule-based system; fuzzy set adaptability; fuzzy systems; genetic algorithms; optimization approach; tuning process; Algorithm design and analysis; Biological cells; Design optimization; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Genetic algorithms; Knowledge based systems; Uncertainty;
Conference_Titel :
Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International
Conference_Location :
London
Print_ISBN :
1-4244-1209-9
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2007.4295559
