Knowledge reduction based on evidence reasoning theory in interval ordered information systems

Authors:
Hong Wang;Huijuan Shi
Affiliations:
College of Mathematics and Computer Science, Shanxi Normal University, Linfen, Shanxi, P.R. China;College of Mathematics and Computer Science, Shanxi Normal University, Linfen, Shanxi, P.R. China
Venue:
ICIC'12 Proceedings of the 8th international conference on Intelligent Computing Theories and Applications
Year:
2012

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Abstract

Rough set theory has been considered as a useful tool to model the vagueness, imprecision, and uncertainty, and has been applied successfully in many fields. In this paper, the basic concepts and properties of knowledge reduction based on evidence reasoning theory are discussed. Furthermore, the characterization and knowledge reduction approaches based on evidence reasoning theory are obtained.