Type-2 fuzzy sets made simple

被引：1732

作者：

Mendel, JM ^{[1
]}

John, RI

机构：

[1] Univ So Calif, Integrated Media Syst Ctr, Los Angeles, CA 90089 USA

[2] De Montfort Univ, Fac Comp Sci & Engn, Dept Comp Sci, Ctr Computat Intelligence, Leicester LE1 9BH, Leics, England

来源：

IEEE TRANSACTIONS ON FUZZY SYSTEMS | 2002年 / 10卷 / 02期

关键词：

type-2 fuzzy logic systems; type-2 fuzzy sets;

D O I：

10.1109/91.995115

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Type-2 fuzzy sets let us model and minimize the effects of uncertainties in rule-base fuzzy logic systems. However, they are difficult to understand for a variety of reasons which we enunciate. In this paper, we strive to overcome the difficulties by: 1) establishing a small set of terms that let us easily communicate about type-2 fuzzy sets and also let us define such sets very precisely, 2) presenting a new representation for type-2 fuzzy sets, and 3) using this new representation to derive formulas for union, intersection and complement of type-2 fuzzy sets without having to use the Extension Principle.

引用

页码：117 / 127

页数：11

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