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Knowledge Reduction Based on Evidence Reasoning Theory in Interval Ordered Information Systems

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 7390)

Abstract

Rough set theory has been considered as a useful tool to model the vagueness, imprecision, and uncertainty, and has been applied successfully in many fields. In this paper, the basic concepts and properties of knowledge reduction based on evidence reasoning theory are discussed. Furthermore, the characterization and knowledge reduction approaches based on evidence reasoning theory are obtained.

Keywords

  • Knowledge reduction
  • Evidence reasoning theory
  • Dominance relation
  • Interval information systems

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Wang, H., Shi, H. (2012). Knowledge Reduction Based on Evidence Reasoning Theory in Interval Ordered Information Systems. In: Huang, DS., Ma, J., Jo, KH., Gromiha, M.M. (eds) Intelligent Computing Theories and Applications. ICIC 2012. Lecture Notes in Computer Science(), vol 7390. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31576-3_4

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  • DOI: https://doi.org/10.1007/978-3-642-31576-3_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31575-6

  • Online ISBN: 978-3-642-31576-3

  • eBook Packages: Computer ScienceComputer Science (R0)