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Three-Way Conflict Analysis for Three-Valued Situation Tables with Rankings and Reference Tuples

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Rough Sets (IJCRS 2023)

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Abstract

Nowadays, the researches of conflict analysis are increasing with the development of three-way decisions, and three-way decisions with rankings and reference tuples provides new perspectives for conflict analysis. In this paper, we first divide a whole set of issues into a bundle of supported issues and a bundle of non-supported issues, and a bundle of opposed issues and a bundle of non-opposed issues, respectively, from the perspectives of support and opposition. Accordingly, we give two ranking orders and two reference tuples. Then, we put forward alliance and conflict measures by considering weights of issues, and develop models of three-way conflict analysis with ideas of rankings and reference tuples. Finally, we show how to compute the alliance, neutral and conflict coalitions with the proposed models. It provides an attempt to study conflict problems with thoughts of rankings and reference tuples.

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Acknowledgements

This work is supported by the National Natural Science Foundation of China (No. 62076040), Hunan Provincial Natural Science Foundation of China (No. 2020JJ3034), the Scientific Research Fund of Hunan Provincial Education Department (No. 22A0233), the Scientific Research Fund of Chongqing Key Laboratory of Computational Intelligence (No. 2020FF04), the Graduate Research Innovation Project of Hunan Province (No. CX20220952).

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Correspondence to Guangming Lang .

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Liu, S., Hu, M., Zhang, Z., Lang, G. (2023). Three-Way Conflict Analysis for Three-Valued Situation Tables with Rankings and Reference Tuples. In: Campagner, A., Urs Lenz, O., Xia, S., Ślęzak, D., Wąs, J., Yao, J. (eds) Rough Sets. IJCRS 2023. Lecture Notes in Computer Science(), vol 14481. Springer, Cham. https://doi.org/10.1007/978-3-031-50959-9_16

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  • DOI: https://doi.org/10.1007/978-3-031-50959-9_16

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  • Online ISBN: 978-3-031-50959-9

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