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Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam pp 61–78Cite as

Game-Theoretic Rough Sets for Feature Selection

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Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 43))

Abstract

Feature selection plays an important role in text categorization. Term frequency and document frequency are commonly used measures in feature selection methods for text categorization. The term frequency provides document level information for a word while document frequency highlights dataset level information for a word. We introduced a Game-theoretic rough set based method for combining these measures in an effective and meaningful way. The method incorporates the measures as players in a game where each player employs a three-way decision in selecting features. The three-way decisions for features received inspiration from three-way decisions for classification of objects in rough sets. The selected decisions with respective measures are utilized in finding a corporative solution as in game-theoretic rough sets. A demonstrative example suggests that this method may be more efficient for feature selection in text categorization.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Regina, Regina, Saskatchewan, Canada, S4S 0A2

    Nouman Azam & JingTao Yao

Authors
  1. Nouman Azam
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  2. JingTao Yao
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Correspondence to Nouman Azam .

Editor information

Editors and Affiliations

  1. Institute of Mathematics, Warsaw University, Banacha 2, Warsaw, 02097, Poland

    Andrzej Skowron

  2. Institute of Computer Science, University of Rzeszów, ul. Dekerta 2, Rzeszów, 35-030, Poland

    Zbigniew Suraj

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Azam, N., Yao, J. (2013). Game-Theoretic Rough Sets for Feature Selection. In: Skowron, A., Suraj, Z. (eds) Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam. Intelligent Systems Reference Library, vol 43. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30341-8_5

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  • DOI: https://doi.org/10.1007/978-3-642-30341-8_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30340-1

  • Online ISBN: 978-3-642-30341-8

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