LE QUY DON
Technical University
VietnameseClear Cookie - decide language by browser settings

Refinement CTIN for general type-2 fuzzy logic systems

Ngo, L.T. (2011) Refinement CTIN for general type-2 fuzzy logic systems. In: 2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011, 27 June 2011 through 30 June 2011, Taipei.

Text
Refinement CTIN for general type-2 fuzzy logic systems.pdf

Download (478kB) | Preview

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. © 2011 IEEE.

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculties > Faculty of Information Technology
Identification Number: 10.1109/FUZZY.2011.6007597
Uncontrolled Keywords: Geometric representation; Robot navigation; Triangulated irregular networks; Type-2 fuzzy logic system; Type-2 fuzzy set; Computational complexity; Fuzzy sets; Fuzzy systems; Inference engines; Tinning; Fuzzy logic
Additional Information: Conference code: 86622. Language of original document: English.
URI: http://eprints.lqdtu.edu.vn/id/eprint/10145

Actions (login required)

View Item
View Item