Soft Set Approach for Selecting Decision Attribute in Data Clustering

摘要：

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.

关键词： Information system Soft set theory Decision attribute

作者: Mohd Isa Awang Ahmad Nazari Mohd Rose Tutut Herawan Mustafa Mat Deris

作者单位: Faculty of Informatics Universiti Sultan Zainal Abidin, Terengganu, Malaysia Department of Mathematics Education Universitas Ahmad Dahlan, Yogyakarta, Indonesia Faculty of Infor Faculty of Information Technology and Multimedia Universiti Tun Hussein Onn Malaysia, Johor, Malaysi

会议类型: 国际会议

会议名称: 6th International Conference on Advanced Data Mining and Applications(第六届先进数据挖掘及应用国际会议 ADMA 2010)

会议地点: 重庆

会议语种:英文

页码: 87-98

在线出版日期: 2010-11-19（万方平台首次上网日期，不代表论文的发表时间）