This paper considers a decision system with a fuzzy decision attribute (with finite set of values) to account for uncertainty. A novel fuzzy classification approach using a class of decision trees is developed. A decision tree is constructed for each decision category using Coefficient of Variation Gain as the attribute selection measure. A metric based on Residual Sum of Squares (RSS) to compare the fuzzy classifier is presented. The methodology of constructing the classifier and its performance aspects are presented.
CITATION STYLE
Hima Bindu, K., & Raghavendra Rao, C. (2015). Coefficient of variation based decision tree for fuzzy classification. In Advances in Intelligent Systems and Computing (Vol. 415, pp. 139–149). Springer Verlag. https://doi.org/10.1007/978-3-319-27212-2_11
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