Region Vector Based Attribute Reducts in Decision-Theoretic Rough Sets
When removing some attributes, the partition induced by a smaller set of attributes will be coarser and the decision regions may be changed. In this paper, we analyze the decision region changes when removing attributes and propose a new type of attribute reducts from the point of view of vector based three-way approximations of a partition. We also present a reduct construction method by using a discernibility matrix.
KeywordsAttribute reduction Decision-theoretic rough sets Discernibility matrix
This work was supported in part by the Project of Department of Education of Guangdong Province (no. 2014KTSCX152) and a Discovery Grant from NSERC, Canada.
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