DocumentCode
424201
Title
Generation of optimal decision rules from incomplete information systems
Author
Liang, Mei-Lian ; Liang, Jia-Rong ; Guo, Chen
Author_Institution
Coll. of Comput., Electron. & Inf., Guangxi Univ., Nanning, China
Volume
4
fYear
2004
fDate
26-29 Aug. 2004
Firstpage
2231
Abstract
Based on an extension model of rough set theory, a novel method of generating optimal decision rules directly from incomplete information systems is proposed in this paper. Through this method, the minimum condition attributes set of all objects can be obtained without data reduction for every single object, and the generalized decision rules can be generated from the original incomplete systems. Two examples show that the method is well suited for both consistent information systems and inconsistent information systems.
Keywords
database management systems; knowledge acquisition; rough set theory; incomplete information systems; optimal decision rules; rough set theory; Bibliographies; Data mining; Educational institutions; Electronic mail; Information systems; Machine learning; Null value; Pattern recognition; Rough sets; Set theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN
0-7803-8403-2
Type
conf
DOI
10.1109/ICMLC.2004.1382170
Filename
1382170
Link To Document