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. © 2010 Springer-Verlag.
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CITATION STYLE
Gabryel, M., & Rutkowski, L. (2010). Evolutionary designing of logic-type fuzzy systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6114 LNAI, pp. 143–148). https://doi.org/10.1007/978-3-642-13232-2_17
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