Region Vector Based Attribute Reducts in Decision-Theoretic Rough Sets

  • Guoshun HuangEmail author
  • Yiyu Yao
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9437)


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.


Attribute 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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Authors and Affiliations

  1. 1.School of ScienceFoshan UniversityFoshanChina
  2. 2.Department of Computer ScienceUniversity of ReginaReginaCanada

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