Browsing by Subject "Rough sets"

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  • Cornelis, Chris; Jensen, Richard; Hurtado, Germán; Slezak, Dominik (2010-01-15)
    Rough set theory provides a methodology for data analysis based on the approximation of concepts in information systems. It revolves around the notion of discernibility: the ability to distinguish between objects, based ...
  • Mac Parthaláin, Neil; Shen, Qiang (2009-01-21)
    Of all of the challenges which face the effective application of computational intelligence technologies for pattern recognition, dataset dimensionality is undoubtedly one of the primary impediments. In order for pattern ...
  • MacParthaláin, Neil Seosamh; Shen, Qiang (2009-05-01)
    Of all of the challenges which face the effective application of computational intelligence technologies for pattern recognition, dataset dimensionality is undoubtedly one of the primary impediments. In order for pattern ...
  • Cornelis, Chris; Hurtado Martín, Germán; Jensen, Richard; Ślȩzak, Dominik (Springer Berlin Heidelberg, 2008)
    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 ...
  • Shen, Qiang; Jensen, Richard (2007)
    Rough set theory provides a useful mathematical foundation for developing automated computational systems that can help understand and make use of imperfect knowledge. Despite its recency, the theory and its extensions ...