DocumentCode
2519462
Title
A FPGA-based implementation of Rough Set Theory
Author
Sun, Guoqiang ; Qi, Xiaoming ; Zhang, Yuanyuan
Author_Institution
Dept. of Control Eng., Aviation Univ., Changchun, China
fYear
2011
fDate
23-25 May 2011
Firstpage
2561
Lastpage
2564
Abstract
Rough set theory is mainly used for analyzing, processing fuzzy and uncertain information and knowledge, and mainly used for the aspect of fault diagnosis, but the theory is basically implemented by software. The article makes use of the advantages of hardware, put forward A FPGA-based implementation of Rough Set Theory, the method effectively improves the speed of data process, reduction and rule extraction, in addition, the method has a strongly engineering practically, and provide a new method for technology research of fault diagnosis based on hardware.
Keywords
digital arithmetic; fault diagnosis; field programmable gate arrays; mathematics computing; rough set theory; FPGA based Implementation; fault diagnosis; fuzzy information; rough set theory; uncertain information; Biological cells; Fault diagnosis; Field programmable gate arrays; Genetic algorithms; Genetics; Hardware; Set theory; FPGA; Rough set; discretization; genetic algorithm; reduction;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location
Mianyang
Print_ISBN
978-1-4244-8737-0
Type
conf
DOI
10.1109/CCDC.2011.5968642
Filename
5968642
Link To Document