Refinement CTIN for general type-2 fuzzy logic systems

Author

Ngo, Long Thanh

Author_Institution

Dept. of Inf. Syst., Le Quy Don Tech. Univ., Hanoi, Vietnam

fYear

2011

fDate

27-30 June 2011

Firstpage

1225

Lastpage

1232

Abstract

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.

Keywords

fuzzy logic; fuzzy set theory; path planning; robots; CTIN; T2FLS; computational complexity; general type-2 fuzzy logic systems; general type-2 fuzzy set; refinement constraint TIN; robot navigation; triangulated irregular network; Approximation methods; Computational complexity; Engines; Fuzzy logic; Fuzzy sets; Inference algorithms; Tin; Geometric Representation; Type-2 Fuzzy Inference; Type-2 Fuzzy Logic Systems; Type-2 Fuzzy Sets;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems (FUZZ), 2011 IEEE International Conference on

Conference_Location

Taipei

ISSN

1098-7584

Print_ISBN

978-1-4244-7315-1

Electronic_ISBN

1098-7584

Type

conf

DOI

10.1109/FUZZY.2011.6007597

Filename

6007597