DocumentCode
2640030
Title
Variable Precision Rough Set Model in Incomplete Ordered Decision System
Author
Zhao, Xia ; Ha, Minghu ; Zhang, Aiquan
Author_Institution
Coll. of Math. & Comput. Sci., Hebei Univ., Baoding
fYear
2008
fDate
18-20 June 2008
Firstpage
498
Lastpage
498
Abstract
Based on the similarity dominance degree, the incomplete ordered decision system with all values that are "do not care" unknown values is established. The variable precision rough set model based on similarity dominance degree in the incomplete ordered decision system is given, and some properties of rough approximation operators of the variable precision rough set model are discussed.
Keywords
approximation theory; decision theory; mathematical operators; rough set theory; incomplete ordered decision system; rough approximation operators; similarity dominance degree; variable precision rough set model; Computer science; Control systems; Data analysis; Data mining; Information systems; Machine learning; Mathematical model; Mathematics; Rough sets; Utility programs;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location
Dalian, Liaoning
Print_ISBN
978-0-7695-3161-8
Electronic_ISBN
978-0-7695-3161-8
Type
conf
DOI
10.1109/ICICIC.2008.672
Filename
4603687
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