Non-Parametric and Parametric t-norms Applied in Fuzzy Rule Extraction

被引：0

作者：

Gal, Laszlo ^{[1
]}

Lovassy, Rita ^{[2
]}

Koczy, Laszlo T. ^{[3
,4
]}

机构：

[1] Univ West Hungary, Fac Sci, Szombathely, Hungary

[2] obuda Univ Budapest, Kando Kalman Fac Elect Engn, Inst Microelect & Technol, Budapest, Hungary

[3] Szechenyi Istvan Univ, Fac Engn Sci, Dept Informat, Gyor, Hungary

[4] Budapest Univ Technol & Econ, Dept Telecommun & Media Informat, Budapest, Hungary

来源：

IEEE 9TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL CYBERNETICS (ICCC 2013) | 2013年

关键词：

ALGORITHM;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：299 / 302

页数：4

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