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
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
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页码:431 / 450
页数:20
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