DocumentCode
3148786
Title
VPRS based on similar relation in incomplete information system
Author
Sun, Shibao ; Ding, AiPing ; Hu, Chengxiang
Author_Institution
Nat. Lab. Of Software Dev. Environ., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
Volume
7
fYear
2010
fDate
16-18 Oct. 2010
Firstpage
2707
Lastpage
2711
Abstract
Through changing the equivalence relation to the similar relation in incomplete information system, a new variable precision rough set model and an approach for knowledge reduction are proposed. The basic properties of lower and upper approximation operators are also investigated. Finally, the example proves that the new variable precision rough set model can effectively reduct database, roundly wide application range of the VPRS, and fully maintain information for database in incomplete information system.
Keywords
data mining; information systems; rough set theory; VPRS; incomplete information system; knowledge reduction; variable precision rough set model; Approximation methods; Biological system modeling; Computational modeling; Databases; Finite element methods; Information systems; Rough sets; incomplete information system; reduction; similar relation; variable precision rough set;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location
Yantai
Print_ISBN
978-1-4244-6495-1
Type
conf
DOI
10.1109/BMEI.2010.5639837
Filename
5639837
Link To Document