@INPROCEEDINGS { Rsds4233,
author = {Mi, Ju-Sheng and Wu, Wei-Zhi}, 
title = {Knowledge Reduction in Incomplete Information Systems Based on Dempster-Shafer Theory of Evidence}, 
booktitle = {Rough Sets and Knowledge Technology}, 
conference = {Rough Sets and Knowledge Technology}, 
series =  = {Lecture Notes in Computer Science}, 
volume = 4062, 
pages = {254--261}, 
publisher = {Springer-Verlag}, 
address = {Heidelberg - Berlin, Germany}, 
year = 2006, 
editor = {Wang, Guoying and Peters, James F. and Skowron, Andrzej and Yao, Yiyu}, 
isbn = {978-3-540-36297-5}, 
abstract = {Knowledge reduction is one of the main problems in the study of rough set theory. This paper deals with knowledge reduction in incomplete information systems based on Dempster-Shafer theory of evidence. The concepts of plausibility and belief consistent sets as well as plausibility and belief reducts in incomplete information systems are introduced. It is proved that a plausibility consistent set in an incomplete information system must be a consistent set and an attribute set in an incomplete information system is a belief reduct if and only if it is a classical reduct.}, 
keywords = {belief functions, incomplete information systems, knowledge reduction, rough sets, }, 
}