An efficient fusion approach to rule extraction based on rough set theory and particle swarm optimization and its application

Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering

Volumn 226, Issue 7, 2012, Pages 904-913

  Deng, Wu ^a,b,c,d,e   Yang, Xinhua ^b   Zou, Li ^a,b,c   Zhao, Huimin ^a,b,c,d   Li, Wen ^b  

^a CHONGQING UNIVERSITY   (China)

^b DALIAN JIAOTONG UNIVERSITY   (China)

^c ANHUI UNIVERSITY   (China)

^d DALIAN UNIVERSITY   (China)

^e SICHUAN UNIVERSITY OF SCIENCE AND ENGINEERING   (China)

Author keywords

centralized control substation; fusion approach; incomplete fault information; particle swarm optimization; rough set theory; Rule extraction

Indexed keywords

CENTRALIZED CONTROL; FAULT DIAGNOSIS SYSTEMS; INCOMPLETE FAULT INFORMATION; MINIMAL SUBSET; PRE-TREATMENT; ROUGH SET; RULE EXTRACTION; COMPLETION METHODS; ITS APPLICATIONS;

INTEGRATED CONTROL; ITERATIVE METHODS; PARTICLE SWARM OPTIMIZATION (PSO); ALGORITHMS; ARTIFICIAL INTELLIGENCE; DATA MINING; EXTRACTION; FAULT DETECTION; LEARNING SYSTEMS; SET THEORY;

ROUGH SET THEORY;

EID: 84867746715     PISSN: 09596518     EISSN: 20413041     Source Type: Journal    
DOI: 10.1177/0959651812445010     Document Type: Article

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