DocumentCode
2923258
Title
An extended rough set model based on a new characteristic relation
Author
Chen, Meng ; Xia, Xin
Author_Institution
Dept. of Comput., NanChang Univ., Nanchang, China
fYear
2011
fDate
8-10 Nov. 2011
Firstpage
100
Lastpage
105
Abstract
Tolerance relation, similarity relation and characteristic relation are discussed. Three types unknown attribute value of “missing value”, “lost value” and “any value” are discussed. Semantically, “missing value”, denoted by “*”, is the same as the unknown value in the tolerance relation, “lost value”, denoted by “?”, is the same as the unknown value in the similarity relation and the “lost value” in the characteristic relation, and “any value”, denoted by “#”, is same as “do not care” condition in characteristic relation. The difference of The definitions of new incomplete information system, attribute similarity and object similarity are given to process the incomplete information system with three types unknown attribute value. Base on these definitions, a new characteristic relation is proposed, characteristic class; lower approximation and upper approximation are defined for new characteristic relation.
Keywords
data handling; information systems; pattern matching; rough set theory; uncertainty handling; any value; characteristic relation; incomplete information system; lost value; missing value; object similarity; rough set model; similarity relation; tolerance relation; Approximation methods; Conferences; Educational institutions; Entropy; Information systems; Semantics; Uncertainty; characteristic relation; incomplete information system; rough set; similarity relation; tolerance relation;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing (GrC), 2011 IEEE International Conference on
Conference_Location
Kaohsiung
Print_ISBN
978-1-4577-0372-0
Type
conf
DOI
10.1109/GRC.2011.6122575
Filename
6122575
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