Title :
A Method of Decision Rules Acquisition for Inconsistent Fault Diagnosis System Based on Rough Set
Author :
Liu Jun ; Yao Xiao-qiu ; Guan Lin-ting
Author_Institution :
Coll. of Math. & Inf., Zhejiang Ocean Univ., Zhoushan, China
Abstract :
Decision rules of fault diagnosis were acquired after analyzing the inconsistent fault information system. By converting inconsistent information system into a consistent one based on the application of generalized decision function of inconsistent information system of rough sets and then by reducing the condition attributes of fault diagnosis based on the compatible relation of rough sets, relative reduction of inconsistent information system was acquired and decision rules were found. When it came to fault system of diesel, the inconsistent fault system of it can be converted into a consistent one and the decision rules acquisition of fault diagnosis proved to be effective.
Keywords :
decision theory; fault diagnosis; knowledge acquisition; rough set theory; state estimation; decision rules acquisition; diesel fault system; fault diagnosis; generalized decision function; inconsistent fault information system; rough set theory; Control systems; Data mining; Educational institutions; Fault diagnosis; Fourier transforms; Fuzzy systems; Information systems; Mathematics; Oceans; Rough sets;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
DOI :
10.1109/FSKD.2009.183