Attribute selection with fuzzy decision reducts
نویسندگان
چکیده
منابع مشابه
Attribute selection with fuzzy decision reducts
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 on their attribute values. It allows to infer data dependencies that are useful in the fields of feature selection and decision model construction. In many cases, however, it is...
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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.
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ژورنال
عنوان ژورنال: Information Sciences
سال: 2010
ISSN: 0020-0255
DOI: 10.1016/j.ins.2009.09.008