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Published in:
2010 | OriginalPaper | Chapter
Soft Set Approach for Selecting Decision Attribute in Data Clustering
Authors : Mohd Isa Awang, Ahmad Nazari Mohd Rose, Tutut Herawan, Mustafa Mat Deris
Published in: Advanced Data Mining and Applications
Publisher: Springer Berlin Heidelberg
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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.