DocumentCode :
2251632
Title :
Knowledge feature analysis to incomplete information system
Author :
Deng, Jiuying ; Wang, Qinruo ; Qiang Chen ; Ye, Baoyu ; Tan, Jianhui
Author_Institution :
Sch. of Autom. Sci. & Eng., Univ. of Technol. of China, Guangzhou, China
Volume :
1
fYear :
2010
fDate :
6-7 March 2010
Firstpage :
330
Lastpage :
333
Abstract :
The Variable Precision Rough Set (VPRS) model extends the basic Rough Set (RS) theory with finite universes and finite evaluative measures. VPRS is concerned with the equivalence and the contained relationship between two sets. In incompatible information systems, the inclusion degree and ß upper (lower) approximation of the inconsistent equivalence class to the decision equivalence classes may be affected by the variable precision. The analysis of an example decision table shows that there is a critical point in ß available-values region. In the new ß range limited at the critical point, the incomplete decision table can be converted to the coordination decision table reliably. We introduce a way and its algorithm implement for the critical value search. The inconsistent equivalence class transformation is performed.
Keywords :
decision tables; information systems; knowledge engineering; rough set theory; VPRS; coordination decision table; information system; knowledge feature analysis; rough set theory; variable precision rough set model; Asia; Automatic control; Control systems; Informatics; Information analysis; Information systems; Knowledge engineering; Robot control; Robot kinematics; Robotics and automation; critical value search; incomplete decision table; knowledge feature; rough set model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on
Conference_Location :
Wuhan
ISSN :
1948-3414
Print_ISBN :
978-1-4244-5192-0
Electronic_ISBN :
1948-3414
Type :
conf
DOI :
10.1109/CAR.2010.5456831
Filename :
5456831
Link To Document :
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