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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Super Attribute Representative for Decision Attribute Selection
verfasst von : Rabiei Mamat, Tutut Herawan, Mustafa Mat Deris
Erschienen in: Software Engineering and Computer Systems
Verlag: Springer Berlin Heidelberg
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Soft set theory proposed by Molodstov is a general mathematic tool for dealing with uncertainties. Recently, several algorithms had been proposed for decision making using soft set theory. However, these algorithms still concern on a Boolean-valued information system. In this paper, Support Attribute Representative (SAR), a soft set based technique for decision making in categorical-valued information system is proposed. The proposed technique has been tested on two datasets. The results of this research will provide useful information for decision makers to handle categorical datasets.