Geometric type-1 and type-2 fuzzy logic systems

被引：234

作者：

Coupland, Simon ^{[1
]}

John, Robert I. ^{[1
]}

机构：

[1] De Montfort Univ, Ctr Computat Intelligence, Leicester LE3 9BH, Leics, England

来源：

IEEE TRANSACTIONS ON FUZZY SYSTEMS | 2007年 / 15卷 / 01期

基金：

英国工程与自然科学研究理事会;

关键词：

computational geometry; geometric approach; type-2 fuzzy logic;

D O I：

10.1109/TFUZZ.2006.889764

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a novel approach to the representation of type-1 and type-2 fuzzy sets utilising computational geometry. To achieve this our approach borrows ideas from the field of computational geometry and applies these techniques in the novel setting of fuzzy logic. We provide new algorithms for various operations on type-1 and type-2 fuzzy sets and for defuzzification. Results of experiments indicate that this approach reduces the execution speed of these operations.

引用

页码：3 / 15

页数：13