THEORY OF T-NORMS AND FUZZY INFERENCE METHODS

被引：233

作者：

GUPTA, MM

QI, J

机构：

[1] Intelligent Systems Research Laboratory, College of Engineering, University of Saskatchewan, Saskatoon

来源：

FUZZY SETS AND SYSTEMS | 1991年 / 40卷 / 03期

关键词：

T-NORMS; T-CONORMS; T-OPERATORS; FUZZY INFERENCE; FUZZY LOGIC CONTROLLER;

D O I：

10.1016/0165-0114(91)90171-L

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this paper, the theory of T-norm and T-conorm is reviewed and the T-norm, T-conorm and negation function are defined as a set of T-operators. Some typical T-operators and their mathematical properties are presented. Finally, the T-operators are extended to the conventional fuzzy reasoning methods which are based on the MIN and MAX operators. This extended fuzzy reasoning provides both a general and a flexible method for the design of fuzzy logic controllers and, more generally, for the modelling of any decision-making process.

引用

页码：431 / 450

页数：20

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