Abstract
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.
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© 1994 Springer-Verlag Berlin Heidelberg
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Wang, Z.W., Wong, S.K.M. (1994). A global measure of ambiguity for classification. In: Raś, Z.W., Zemankova, M. (eds) Methodologies for Intelligent Systems. ISMIS 1994. Lecture Notes in Computer Science, vol 869. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58495-1_11
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DOI: https://doi.org/10.1007/3-540-58495-1_11
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