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 :
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