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Attribute Reduction in Random Information Systems with Fuzzy Decisions

  • Wei-Zhi Wu
  • You-Hong Xu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6743)

Abstract

Knowledge reduction is one of the main problems in the study of rough set theory. This paper deals with knowledge reduction in the sense of reducing attributes in random information systems with fuzzy decisions based on the Dempster-Shafer theory of evidence. The concepts of lower approximation reducts, upper approximation reducts, random belief reducts and random plausibility reducts in random fuzzy decision systems are introduced. The relationships among these reducts are examined.

Keywords

Belief functions fuzzy decisions knowledge reduction random information systems rough sets 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Wei-Zhi Wu
    • 1
  • You-Hong Xu
    • 1
  1. 1.School of Mathematics, Physics and Information ScienceZhejiang Ocean UniversityZhoushanP.R. China

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