Attribute Selection in Product Mix: A Rough Set Approach

Abstract

Using an illustrative case study on the Product mix, this paper propose the advantages of the rough set approach over conventional techniques for the extraction of decision rules with the help of confidence and strength of an association. As an important concept of rough set theory (RST), an attribute reduct is a subset of attributes that are jointly sufficient and individually necessary for preserving a particular property of the given information table. Our approach focus on the selection of the best attributes in order to generate the effective reduct set and formulating the core of the attribute set.