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Rough Sets: Selected Methods and Applications in Management and Engineering pp 79–93Cite as

Three-Way Decisions Using Rough Sets

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Part of the book series: Advanced Information and Knowledge Processing ((AI&KP))

Abstract

A fundamental notion of rough sets is the approximation of a set by a triplet of positive, boundary, and negative regions, which leads to three-way decisions or ternary classifications. Rules from the positive region are used for making a decision of acceptance, rules from the negative region for making a decision of rejection, and rules from the boundary region for making a decision of non-commitment or deferment. This new view captures an important aspect of rough set theory and may find many practical applications.

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Author information

Authors and Affiliations

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

    Yiyu Yao

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  1. Yiyu Yao
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Correspondence to Yiyu Yao .

Editor information

Editors and Affiliations

  1. Munich University of Applied Sciences, Lothstrasse 34, Munich, 80335, Germany

    Georg Peters

  2. Dpt. of Mathematics and Computer Science, St. Mary's University, Halifax, B3H 3C3, Nova Scotia, Canada

    Pawan Lingras

  3. University of Warsaw, Banacha 2, Warsaw, 02-097, Poland

    Dominik Ślęzak

  4. Department of Computer Science, University of Regina, Regina, S4S0A2, Saskatchewan, Canada

    Yiyu Yao

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Yao, Y. (2012). Three-Way Decisions Using Rough Sets. In: Peters, G., Lingras, P., Ślęzak, D., Yao, Y. (eds) Rough Sets: Selected Methods and Applications in Management and Engineering. Advanced Information and Knowledge Processing. Springer, London. https://doi.org/10.1007/978-1-4471-2760-4_5

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  • DOI: https://doi.org/10.1007/978-1-4471-2760-4_5

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-2759-8

  • Online ISBN: 978-1-4471-2760-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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