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Feature Selection with Fuzzy Decision Reducts

  • Chris Cornelis
  • Germán Hurtado Martín
  • Richard Jensen
  • Dominik Ślȩzak
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5009)

Abstract

In this paper, within the context of fuzzy rough set theory, we generalize the classical rough set framework for data-based attribute selection and reduction, based on the notion of fuzzy decision reducts. Experimental analysis confirms the potential of the approach.

Keywords

fuzzy sets rough sets decision reducts classification 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Chris Cornelis
    • 1
  • Germán Hurtado Martín
    • 1
    • 2
  • Richard Jensen
    • 3
  • Dominik Ślȩzak
    • 4
  1. 1.Dept. of Mathematics and Computer ScienceGhent UniversityGentBelgium
  2. 2.Dept. of Industrial SciencesHogeschool GentGentBelgium
  3. 3.Dept. of Computer ScienceThe University of WalesAberystwythUK
  4. 4.Infobright Inc.TorontoCanada

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