DocumentCode :
2386100
Title :
MGRS in Incomplete Information Systems
Author :
Qian, Y.H. ; Liang, J.Y. ; Dang, C.Y.
Author_Institution :
City Univ. of Hong Kong, Hong Kong
fYear :
2007
fDate :
2-4 Nov. 2007
Firstpage :
163
Lastpage :
163
Abstract :
The original rough set model is concerned primarily with the approximation of sets described by single binary relation on the universe. In the view of granular computing, classical rough set theory is researched by single granulation. The article extends the rough set model based on tolerance relation to incomplete rough set model based on multi-granulations, where the set approximations are defined by using multi tolerance relations on the universe. Its some basic mathematical properties are investigated as well. It is shown that some properties of rough set model based on tolerance relation are special instances of this new model, the approximation measure of a target concept described by using multi-granulations is always better than by using single granulation, which is suitable for describing more accurately the concept and solving problem according to user requirement in incomplete information systems.
Keywords :
information systems; mathematics computing; rough set theory; granular computing; incomplete information systems; multi tolerance relations; multi-granulations; rough set theory; single binary relation; Artificial intelligence; Computer aided manufacturing; Fuzzy sets; Information systems; Management information systems; Manufacturing processes; Research and development management; Set theory; Uncertainty; Virtual manufacturing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Granular Computing, 2007. GRC 2007. IEEE International Conference on
Conference_Location :
Fremont, CA
Print_ISBN :
978-0-7695-3032-1
Type :
conf
DOI :
10.1109/GrC.2007.10
Filename :
4403087
Link To Document :
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