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Three-Way Decisions in Dynamic Decision-Theoretic Rough Sets

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Rough Sets and Knowledge Technology (RSKT 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8171))

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Abstract

In the previous decision-theoretic rough sets (DTRS), its loss function values are constant. This paper extends the constant values of loss functions to a more realistic dynamic environment. Considering the dynamic change of loss functions in DTRS with the time, an extension of DTRS, dynamic decision-theoretic rough sets (DDTRS) is proposed in this paper. An empirical study of climate policy making validates the reasonability and effectiveness of the proposed model.

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Author information

Authors and Affiliations

  1. School of Economics and Management, Tsinghua University, Beijing, 100084, P.R. China

    Dun Liu

  2. School of Economics and Management, Southwest Jiaotong University, Chengdu, 610031, P.R. China

    Dun Liu & Decui Liang

  3. School of Information Science and Technology, Southwest Jiaotong University, Chengdu, 610031, P.R. China

    Tianrui Li

Authors
  1. Dun Liu
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  2. Tianrui Li
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  3. Decui Liang
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Editor information

Editors and Affiliations

  1. Saint Mary’s University, B3H 3C3, Halifax, NS, Canada

    Pawan Lingras

  2. Maria Curie-Skłodowska University, Lublin, Poland

    Marcin Wolski

  3. University of Granada, Spain

    Chris Cornelis

  4. Indian Statistical Institute, 700108, Kolkata, India

    Sushmita Mitra

  5. University of Warsaw, 02-097, Warsaw, Poland

    Piotr Wasilewski

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Liu, D., Li, T., Liang, D. (2013). Three-Way Decisions in Dynamic Decision-Theoretic Rough Sets. In: Lingras, P., Wolski, M., Cornelis, C., Mitra, S., Wasilewski, P. (eds) Rough Sets and Knowledge Technology. RSKT 2013. Lecture Notes in Computer Science(), vol 8171. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41299-8_28

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  • DOI: https://doi.org/10.1007/978-3-642-41299-8_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41298-1

  • Online ISBN: 978-3-642-41299-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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