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Induction of Ordinal Classification Rules from Incomplete Data

  • Jerzy Błaszczyński
  • Roman Słowiński
  • Marcin Szeląg
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7413)

Abstract

In this paper, we consider different ways of handling missing values in ordinal classification problems with monotonicity constraints within Dominance-based Rough Set Approach (DRSA). We show how to induce classification rules in a way that has desirable properties. Our considerations are extended to an experimental comparison of the postulated rule classifier with other ordinal and non-ordinal classifiers.

Keywords

Dominance-based Rough Set Approach Ordinal classification with monotonicity constraints Missing values Decision rules 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Jerzy Błaszczyński
    • 1
  • Roman Słowiński
    • 1
    • 2
  • Marcin Szeląg
    • 1
  1. 1.Institute of Computing SciencePoznań University of TechnologyPoznańPoland
  2. 2.Systems Research InstitutePolish Academy of SciencesWarsawPoland

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