DocumentCode
559870
Title
Extended Rough Set Model Based on Prior Probability and Valued Tolerance Relation
Author
Zhao, Jinchao ; Xu, Jin
Author_Institution
Sch. of Comput. & Commun. Eng., Zhengzhou Univ. of Light Ind., Zhengzhou, China
Volume
1
fYear
2011
fDate
24-25 Sept. 2011
Firstpage
237
Lastpage
240
Abstract
Based on equivalence relation, the classical rough set theory is unable to deal with incomplete information systems. In this case, an extended rough set model based on valued tolerance relation and prior probability obtained from incomplete information systems is firstly presented in this paper. As a part of the model, the corresponding discernibility matrix and an attribute reduction of incomplete information system are then proposed. Finally, the extended rough set model and the proposed attribute reduction algorithm are verified under an incomplete information system. Example analysis shows the improved tolerance relation model and the proposed attribute reduction algorithm can deal with incomplete information system effectively.
Keywords
information systems; matrix algebra; probability; rough set theory; attribute reduction algorithm; discernibility matrix; equivalence relation; extended rough set model; incomplete information system; prior probability; valued tolerance relation; Adaptation models; Algorithm design and analysis; Computers; Educational institutions; Information systems; Probability distribution; Rough sets; Attribute reduction; discernibility matrix; incomplete information system; prior probability; rough set;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology, Computer Engineering and Management Sciences (ICM), 2011 International Conference on
Conference_Location
Nanjing, Jiangsu
Print_ISBN
978-1-4577-1419-1
Type
conf
DOI
10.1109/ICM.2011.261
Filename
6113400
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