DocumentCode
2396512
Title
On the upper approximations of covering generalized rough sets
Author
Tsang, Eric C C ; Chen, Degang ; Lee, John W T ; Yeung, Daniel S.
Author_Institution
Dept. of Comput., Hong Kong Polytech. Univ., Kowloon, China
Volume
7
fYear
2004
fDate
26-29 Aug. 2004
Firstpage
4200
Abstract
The covering generalized rough set is an improvement of Pawlak rough set to deal with more complex practical problems which the latter one cannot handle. However, many basic notions in this theory are not as widely agreeable as in the Pawlak rough set theory. We mainly improve the definition of upper approximation for covering generalized rough sets to make it more reasonable than the existing ones. Thus we set up a framework for the approximation operators of covering rough sets.
Keywords
approximation theory; generalisation (artificial intelligence); rough set theory; Pawlak rough set theory; covering generalized rough set; upper approximation; Algebra; Cybernetics; Data analysis; Information systems; Mathematics; Rough sets; Set theory; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN
0-7803-8403-2
Type
conf
DOI
10.1109/ICMLC.2004.1384576
Filename
1384576
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