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International Joint Conference on Rough Sets

IJCRS 2018: Rough Sets pp 522–532Cite as

A Conflict Analysis Model Based on Three-Way Decisions

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11103))

Abstract

In decision-making, three-way decisions play an essential role and have been widely used in many fields and disciplines. In this paper, we propose a conflict analysis model based on three-way decisions, so as to explore the inter structure of conflict situation. Firstly, by adopting including degree, two pairs of evaluation functions are defined specifically based on the conflict situation. After that, with restricting the evaluations, three regions of agent set and issue set can be obtained. Comparing with existing conflict analysis models, this trisection model is more efficient, practical and pragmatical. Finally, the trisection of agent set and issue set could be used to ascertain sub-optimal feasible consensus strategies, and determine the scope of the kernel issues in conflict situation, respectively.

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Acknowledgments

The authors gratefully acknowledge the support of the Natural Science Foundation of China (No. 61772021).

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Authors and Affiliations

  1. School of Mathematics, Northwest University, Xi’an, 710127, People’s Republic of China

    Yan Fan & Ling Wei

  2. School of Computer Science and Technology, Xidian University, Xi’an, 710071, People’s Republic of China

    Jianjun Qi

Authors
  1. Yan Fan
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  2. Jianjun Qi
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  3. Ling Wei
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Corresponding author

Correspondence to Ling Wei .

Editor information

Editors and Affiliations

  1. University of Warsaw, Warsaw, Poland

    Hung Son Nguyen

  2. Faculty of Information Technology, Vietnam National University, Hanoi, Vietnam

    Quang-Thuy Ha

  3. School of Information Science, Southwest Jiaotong University, Chengdu, China

    Tianrui Li

  4. Institute of Computer Science, University of Silesia, Sosnowiec, Poland

    Małgorzata Przybyła-Kasperek

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Fan, Y., Qi, J., Wei, L. (2018). A Conflict Analysis Model Based on Three-Way Decisions. In: Nguyen, H., Ha, QT., Li, T., Przybyła-Kasperek, M. (eds) Rough Sets. IJCRS 2018. Lecture Notes in Computer Science(), vol 11103. Springer, Cham. https://doi.org/10.1007/978-3-319-99368-3_41

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  • DOI: https://doi.org/10.1007/978-3-319-99368-3_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99367-6

  • Online ISBN: 978-3-319-99368-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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