A global measure of ambiguity for classification

  • Z. W. Wang
  • S. K. M. Wong
Communications Approximate Reasoning
Part of the Lecture Notes in Computer Science book series (LNCS, volume 869)


This paper suggests a a global measure of ambiguity based on the notion of an interval structure which can be viewed as a qualitative measure of belief. It is shown that the boundary region in the roughset model is a special case of the proposed measure. To demonstrate the usefulness of this new measure, it is being used as a criterion for selecting appropriate attributes in the construction of decision trees.


approximate reasoning rough-sets interval structure incidence calculus ambiguity decision trees classification 


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Copyright information

© Springer-Verlag Berlin Heidelberg 1994

Authors and Affiliations

  • Z. W. Wang
    • 1
  • S. K. M. Wong
    • 1
  1. 1.Department of Computer ScienceUniversity of ReginaReginaCanada

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