DocumentCode
3293425
Title
Research on the Grey Rough Set Modeling and Its Properties Using Constructive Method
Author
Wu, Shun-xiang ; Yang, Jun-bin ; Cai, Jian-huai ; Luo, De-lin
Author_Institution
Dept. of Autom., Xiamen Univ., Xiamen
Volume
5
fYear
2008
fDate
18-20 Oct. 2008
Firstpage
685
Lastpage
691
Abstract
Based on the combination of rough set (RS) theory and grey system (GS) theory, this paper presents the grey-rough set modeling using constructive method (CM). Considering grey system theory having good ability in data preprocessing, grey number is used to describe the imprecise, uncertain, vague information in the information system through grey mapping, and then the grey information system is built. In this paper, CM is applied to investigate the RS. the definition of four pairs of approximate operators of grey rough set (GRS) is proposed using CM. At the same time, we investigated the GRS-related fundamental theory and delivered the algebra system of the GRS. It makes that the methods of GS classification can be used to describe the incomplete information more precisely, and enhance the ability of grey information covering, and therefore the connotative knowledge and rule in grey information system can be discovered more effectively and exactly.
Keywords
approximation theory; grey systems; rough set theory; algebra system; constructive method; data preprocessing; grey information covering; grey information system; grey mapping; grey rough set modeling; Automation; Boolean algebra; Data analysis; Data preprocessing; Fuzzy systems; Information systems; Lattices; Logic; Constructive Method; Grey Rough Set; Grey System; Rough Set; grey information system;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
Conference_Location
Jinan Shandong
Print_ISBN
978-0-7695-3305-6
Type
conf
DOI
10.1109/FSKD.2008.270
Filename
4666611
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