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Uncertainty Problem Processing with Covering Generalized Rough Sets

  • Jun Hu
  • Guoyin Wang
Part of the Intelligent Systems Reference Library book series (ISRL, volume 43)

Abstract

Rough set theory is useful in processing uncertainty problems. Because the limitation of classical rough set theory, many extensions have been developed. Covering generalized rough set model is an important one of them. Although many theoretical results have been achieved in the past years. However, the application of covering generalized rough set theory is discussed rarely. In this chapter, two typical uncertainty problems, incomplete information processing, and fuzzy decision making, are discussed from the view of covering generalized rough set theory.

Keywords

Uncertainty problem processing covering generalized rough set incomplete information system knowledge reduction fuzzy decision making fuzzy rough set 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Institute of Computer Science and TechnologyChongqing University of Posts and TelecommunicationsChongqingP. R. China

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