Feature Selection with Fuzzy Decision Reducts

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dc.contributor.author Slezak, Dominik
dc.contributor.author Cornelis, Chris
dc.contributor.author Hurtado Martín, German
dc.contributor.author Jensen, Richard
dc.date.accessioned 2008-06-13T11:42:45Z
dc.date.available 2008-06-13T11:42:45Z
dc.date.issued 2008-06-13
dc.identifier.citation Slezak , D , Cornelis , C , Hurtado Martín , G & Jensen , R 2008 , ' Feature Selection with Fuzzy Decision Reducts ' . en
dc.identifier.other PURE: 85417
dc.identifier.other dspace: 2160/584
dc.identifier.uri http://hdl.handle.net/2160/584
dc.description C. Cornelis, G. Hurtado Martin, R. Jensen and D. Slezak. Feature Selection with Fuzzy Decision Reducts. To appear in: Proceedings of the Third International Conference on Rough Sets and Knowledge Technology (RSKT08), 2008. en
dc.description.abstract In this paper, within the context of fuzzy rough set theory, we generalize the classical rough set framework for data-based attribute selection and reduction, based on the notion of fuzzy decision reducts. Experimental analysis confirms the potential of the approach. en
dc.language.iso eng
dc.title Feature Selection with Fuzzy Decision Reducts en
dc.type Text en
dc.type.publicationtype Conference paper en
dc.contributor.institution Department of Computer Science en
dc.description.status Non peer reviewed en


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