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 à 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 à available-values region. In the new à 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
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