Fuzzy modeling based on generalized conjunction operations

被引：44

作者：

Batyrshin, I

Kaynak, O

Rudas, I

机构：

[1] Kazan State Technol Univ, Dept Informat & Appl Math, Kazan 420015, Russia

[2] Bogazici Univ, Dept Elect Engn, TR-80815 Bebek, Turkey

[3] Budapest Polytech, H-1081 Budapest, Hungary

来源：

IEEE TRANSACTIONS ON FUZZY SYSTEMS | 2002年 / 10卷 / 05期

关键词：

conjunction; disjunction; functions approximation; fuzzy modeling; t-norm;

D O I：

10.1109/TFUZZ.2002.803500

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A novel approach to fuzzy modeling based on the tuning of parametric conjunction operations is proposed. First, some novel methods for the construction of parametric generalized conjunction operations simpler than the known parametric classes of conjunctions are considered and discussed. Second, several examples of function approximation by fuzzy models, based on the tuning of the parameters of the new conjunction operations, are given and their approximation performances are compared with the approaches based on a tuning of membership functions and other approaches proposed in the literature. It is seen that the tuning of the conjunction operations can be used for obtaining fuzzy models with a sufficiently good performance when the tuning of membership functions is not possible or not desirable.

引用

页码：678 / 683

页数：6

共 27 条

[1] ON SOME LOGICAL CONNECTIVES FOR FUZZY-SETS THEORY [J].