DocumentCode
1887007
Title
An attribute fast reduction algorithm based on modified discernable matrix of S-rough sets
Author
Gu, Guo-dong ; Zhang, Yong-Shun ; Hu, Jun-hong ; Shen, Kai
Author_Institution
Missile Inst., Air Force Eng. Univ., Sanyuan
fYear
2009
fDate
11-12 April 2009
Firstpage
366
Lastpage
368
Abstract
To the information system which possesses dynamic characteristic, the discernable matrix of S-rough set is put forward based on S-rough set attribute transfer theory, and a new fast attribute reduction algorithm is presented based on discernable matrix of S-rough set in this paper. The algorithm makes up the localization of Z.Pawlak rough set theory in disposing dynamic system knowledge discovery, the incomplete information system is extended by attribute transfer, then reduction rules can be obtained simply; as a result, the algorithm complexity is reduced greatly.
Keywords
computational complexity; data mining; matrix algebra; rough set theory; algorithm complexity; attribute fast reduction algorithm; dynamic characteristics; dynamic system knowledge discovery; information system; modified discernable matrix of S-rough set; reduction rules; transfer theory; Decision making; Fuzzy set theory; Information systems; Mathematics; Missiles; Rough sets; Set theory; S-rough set; attribute reduction; attribute transfer; discernable matrix; rough sets;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Analysis and Signal Processing, 2009. IASP 2009. International Conference on
Conference_Location
Taizhou
Print_ISBN
978-1-4244-3987-4
Type
conf
DOI
10.1109/IASP.2009.5054610
Filename
5054610
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