Title :
Grid-based general type-2 fuzzy logic systems based on GPU computing
Author_Institution :
Dept. of Inf. Syst., Le Quy Don Tech. Univ., Hanoi, Vietnam
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;
Conference_Titel :
Fuzzy Systems (FUZZ), 2013 IEEE International Conference on
Conference_Location :
Hyderabad
Print_ISBN :
978-1-4799-0020-6
DOI :
10.1109/FUZZ-IEEE.2013.6622429
