Refinement CTIN for General Type-2 Fuzzy Logic Systems

被引：0
|
作者：
Long Thanh Ngo [1 ]
机构：
[1] Le Quy Don Tech Univ, Fac Informat Technol, Dept Informat Syst, Hanoi, Vietnam
来源：
IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011) | 2011年
关键词：
Type-2 Fuzzy Sets; Type-2 Fuzzy Logic Systems; Type-2 Fuzzy Inference; Geometric Representation; ALPHA-PLANE REPRESENTATION; SETS THEORY; DEFUZZIFICATION;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Triangulated irregular network (TIN) has been used for representing general type-2 fuzzy sets and gained some results of reducing computational complexity. In general, TIN-based algorithms are still complex and difficulty to deploy in applications. So, an approach based on refinement constraint TIN (CTIN) for representing general type-2 fuzzy set is proposed. The paper deals with the use CTIN in general type-2 fuzzy logic systems (GT2FLS). Operations are developed for general type-2 fuzzy sets. A T2FLS is designed and implemented in comparing previous approaches under an application of robot navigation.
引用
收藏
页码：1225 / 1232
页数：8
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