Title :
Non-parametric and parametric t-norms applied in fuzzy rule extraction
Author :
Gal, Laszlo ; Lovassy, Rita ; Koczy, Laszlo T.
Author_Institution :
Fac. of Sci., Univ. of West Hungary Szombathely, Szombathely, Hungary
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.
Keywords :
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; Algorithm design and analysis; Approximation algorithms; Educational institutions; Function approximation; Input variables; Memetics; Microorganisms;
Conference_Titel :
Computational Cybernetics (ICCC), 2013 IEEE 9th International Conference on
Conference_Location :
Tihany
Print_ISBN :
978-1-4799-0060-2
DOI :
10.1109/ICCCyb.2013.6617607
