Title :
A general version of knowledge reduction in R-information systems
Author :
Wu, Wei-Zhi ; Mi, Ju-Sheng ; Li, Huai-Zu
Author_Institution :
Sch. of Manage, Xi´´an Jiaotong Univ., China
Abstract :
Attribute reduction is one of the main issues in classification knowledge acquisition in information systems. Many types of attribute reduction have been proposed in the area of rough sets. In this paper the concept of an R-information system is introduced and a general version of attribute reduction in R-information systems is proposed, then the judgment theorems concerning the reduction are presented.
Keywords :
classification; information systems; knowledge acquisition; rough set theory; R-information systems; attribute reduction; classification; knowledge acquisition; knowledge reduction; rough sets; Educational institutions; Information science; Information systems; Intelligent systems; Knowledge acquisition; Machine learning; Mathematics; Oceans; Rough sets; Set theory;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1382022
