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Condition Class Classification Stability in RST due to Continuous Value Discretisation

  • Malcolm J. Beynon
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3066)

Abstract

Rough Set Theory (RST) is a nascent technique for object classification, where each object in an information system is characterised and classified by a number of condition and decision attributes respectively. A level of continuous value discretisation (CVD) is often employed to reduce the possible large granularity of the information system. This paper considers the effect of CVD on the association between condition and decision classes in RST. Moreover, the stability of the classification of the objects in the condition classes is investigated. Novel measures are introduced to describe the association of objects (condition classes) to the different decision classes.

Keywords

Condition Class Decision Outcome Decision Class Classification Stability Component Probability 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Malcolm J. Beynon
    • 1
  1. 1.Cardiff Business SchoolCardiff UniversityCardiffUK

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