DocumentCode
3416496
Title
Rule generating based on relative Discernibility Matrix
Author
Li, Min
Author_Institution
NanChang Inst. of Technol., Nanchang, China
fYear
2012
fDate
24-26 Aug. 2012
Firstpage
676
Lastpage
679
Abstract
The concept of relative decision is put forward and the method for finding absolute reduction decision rule through combining rules of relative decisional condition sets is given in this paper. In the process of decision table reduction, the relative Discernibility Matrix between decision categories should be created in order to decide the relative decision conditions which are conjoined to find the decision conditions of all the decision classes. The relative decision conditions are extracted by creating relative Discernibility Matrix, so that scales of computing can be cut down substantially and saving storage space. The availability of this method is proved by a fault diagnosis example of reciprocating machines.
Keywords
matrix algebra; rough set theory; absolute reduction decision rule; decision categories; fault diagnosis; reciprocating machines; relative decisional condition; relative discernibility matrix; rough set theory; storage space; Classification; Fault diagnosis; Relative Decision Rule; Relative Discernibility Matrix; Rough Set;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Processing (CSIP), 2012 International Conference on
Conference_Location
Xi´an, Shaanxi
Print_ISBN
978-1-4673-1410-7
Type
conf
DOI
10.1109/CSIP.2012.6308944
Filename
6308944
Link To Document