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• W1604393721 abstract "Attributes may be categorized as core, reduct or non-reduct attributes when rough set theory is utilized for classification. These attribute types play different roles in feature selection algorithms. We introduce a game-theoretic rough set based method that formulates the classification of an attribute as a decision problem within a game. In particular, multiple measures representing importance levels for an attribute are incorporated into a unified framework to obtain an effective attribute classification mechanism. Demonstrative example suggests that the method may be efficient in classifying different types of attributes." @default.
• W1604393721 created "2016-06-24" @default.
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• W1604393721 date "2012-01-01" @default.
• W1604393721 modified "2023-09-26" @default.
• W1604393721 title "Classifying Attributes with Game-Theoretic Rough Sets" @default.
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• W1604393721 doi "https://doi.org/10.1007/978-3-642-29977-3_18" @default.
• W1604393721 hasPublicationYear "2012" @default.
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