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
Link To Document :
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