Grid-based general type-2 fuzzy logic systems based on GPU computing

Author

Long Thanh Ngo

Author_Institution

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

fYear

2013

fDate

7-10 July 2013

Firstpage

1

Lastpage

8

Abstract

The advances of nVIDIAs computing technology allow to deploy of general purpose high performance applications of Graphic Processing Units (GPU) by parallelizing algorithms. Based on the grid-based representation of T2FS, the paper deals with an approach to computational process of general type-2 fuzzy logic systems based on Grid T2FS for GPU platforms. Experiments are implemented in various applications to show that the representation are suitable to speed-up general type-2 fuzzy logic systems on GPU platform.

Keywords

fuzzy logic; fuzzy set theory; graphics processing units; GPU computing; GPU platforms; graphic processing units; grid based general type-2 fuzzy logic systems; grid based representation; nVIDIAs computing technology; parallelizing algorithms; Complexity theory; Engines; Fuzzy logic; Fuzzy sets; Graphics processing units; Inference algorithms; Instruction sets; General type-2 fuzzy logic systems; Graphic Processing Units; Type-2 fuzzy operation; Type-2 fuzzy set; defuzzification;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems (FUZZ), 2013 IEEE International Conference on

Conference_Location

Hyderabad

ISSN

1098-7584

Print_ISBN

978-1-4799-0020-6

Type

conf

DOI

10.1109/FUZZ-IEEE.2013.6622429

Filename

6622429