Evolutionary designing of logic-type fuzzy systems

Authors:
Marcin Gabryel;Leszek Rutkowski
Affiliations:
Department of Computer Engineering, Częstochowa University of Technology, Częstochowa, Poland and Kotarbinski Olsztyn Academy of Computer Science and Management, Olsztyn, Poland;Academy of Management, SWSPiZ, Institute of Information Technology, Lodz, Poland and Department of Computer Engineering, Częstochowa University of Technology, Częstochowa, Poland
Venue:
ICAISC'10 Proceedings of the 10th international conference on Artifical intelligence and soft computing: Part II
Year:
2010

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Abstract

In this paper we present a method for designing the logic-type fuzzy system. In this kind of fuzzy systems antecedents and consequences, in the individual rules, are connected by a fuzzy implication. In our method, the whole system is designed by an evolutionary algorithm, including learning of parameters of membership functions and selection of an appopriate fuzzy implication and triangular norms. The results of simulations illustrate efficiency of our method.