Coefficient of variation based decision tree for fuzzy classification

dc.contributor.author	Hima Bindu, K.
dc.contributor.author	Raghavendra Rao, C.
dc.date.accessioned	2022-03-27T05:59:05Z
dc.date.available	2022-03-27T05:59:05Z
dc.date.issued	2015-01-01
dc.description.abstract	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.
dc.identifier.citation	Advances in Intelligent Systems and Computing. v.415
dc.identifier.issn	21945357
dc.identifier.uri	10.1007/978-3-319-27212-2_11
dc.identifier.uri	http://link.springer.com/10.1007/978-3-319-27212-2_11
dc.identifier.uri	https://dspace.uohyd.ac.in/handle/1/9011
dc.subject	CvDT
dc.subject	CvGain
dc.subject	Fuzzy decision tree
dc.subject	Residual sum of squares
dc.title	Coefficient of variation based decision tree for fuzzy classification
dc.type	Book Series. Conference Paper
dspace.entity.type

Now showing 1 - 1 of 1