论文信息 - Soft Set Approach for Selecting Decision Attribute in Data Clustering

Soft Set Approach for Selecting Decision Attribute in Data Clustering

This paper presents the applicability of soft set theory for discovering a decision attribute in information systems. It is based on the notion of a mapping inclusion in soft set theory. The proposed technique is implemented with example test case and one UCI benchmark data; US Census 1990 dataset. The results from test case show that the selected decision attribute is equivalent to that under rough set theory.

Ahmad Nazari Mohd Rose | Mustafa Mat Deris | Tutut Herawan | Mohd Isa Awang

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