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A method for local tuning of fuzzy membership functions

Lecture Notes in Computer Science (2005) 3516(III) 945-949
DOI: 10.1007/11428862_144
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Abstract

In this paper, a new method based on genetic algorithms is proposed for local tuning of fuzzy membership functions. For this purpose, the local adjustment is employed on the initial membership functions. Genetic algorithm is used to investigate discrete points that will be modified on the membership functions Hence, global adjustment does not require and the processing time required for tuning of membership functions is decreased. © Springer-Verlag Berlin Heidelberg 2005.

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APA

Çinar, A. (2005). A method for local tuning of fuzzy membership functions. In Lecture Notes in Computer Science (Vol. 3516, pp. 945–949). Springer Verlag. https://doi.org/10.1007/11428862_144

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