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Soft set approach for selecting decision attribute in data clustering

Awang, Mohd Isa and Mohd Rose, Ahmad Nazari and Herawan, Tutut and Mat Deris, Mustafa (2011) Soft set approach for selecting decision attribute in data clustering. In: Proceedings of the 6th International Conference on Advanced Data Mining and Applications (ADMA'10).

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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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: decision attribute; information system; soft set theory
Subjects: Q Science > QA Mathematics > QA297 Numerical analysis. Analysis
Divisions: Faculty of Computer Science and Information Technology > Department of Software Engineering
Depositing User: Normajihan Abd. Rahman
Date Deposited: 11 Apr 2013 03:16
Last Modified: 11 Apr 2013 03:16
URI: http://eprints.uthm.edu.my/id/eprint/3571
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