Non-parametric and parametric t-norms applied in fuzzy rule extraction

Computational Cybernetics（2013）

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Abstract

In this paper we propose non-parametric t-norms such as algebraic, trigonometric and Hamacher product, furthermore parametric Hamacher t-norm in Mamdani type inference systems. Various models with trapezoidal shaped fuzzy membership function are applied in order to improve the efficiency of bacterial memetic algorithm in automatic fuzzy rule identification.

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Key words

evolutionary computation,fuzzy logic,fuzzy reasoning,fuzzy set theory,knowledge acquisition,hamacher product,mamdani type inference systems,automatic fuzzy rule identification,bacterial evolutionary algorithm,bacterial memetic algorithm,fuzzy rule extraction,nonparametric t-norms,parametric hamacher t-norm,trapezoidal shaped fuzzy membership function,approximation algorithms,memetics,function approximation,algorithm design and analysis,microorganisms

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