DocumentCode
3306838
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
fYear
2013
fDate
8-10 July 2013
Firstpage
299
Lastpage
302
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Cybernetics (ICCC), 2013 IEEE 9th International Conference on
Conference_Location
Tihany
Print_ISBN
978-1-4799-0060-2
Type
conf
DOI
10.1109/ICCCyb.2013.6617607
Filename
6617607
Link To Document