학술논문

Knowledge feature analysis to incomplete information system
Document Type
Conference
Source
2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2010) Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on. 1:330-333 Mar, 2010
Subject
Robotics and Control Systems
Information analysis
Information systems
Robotics and automation
Asia
Informatics
Automatic control
Robot control
Control systems
Robot kinematics
Knowledge engineering
knowledge feature
rough set model
incomplete decision table
critical value search
Language
ISSN
1948-3414
1948-3422
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 β 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 β available-values region. In the new β 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.