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Multi-criteria Large-Scale Group Decision-Making in Linguistic Contexts: A Perspective of Conflict Analysis and Resolution

Author

Listed:
  • Junliang Du

    (Nanjing University of Aeronautics and Astronautics)

  • Sifeng Liu

    (Nanjing University of Aeronautics and Astronautics)

  • Yong Liu

    (Jiangnan University)

  • Liangyan Tao

    (Nanjing University of Aeronautics and Astronautics)

Abstract

As a universal phenomenon, conflicts exist widely in various fields such as politics, economic life, military, and culture. Group decision-making techniques that effectively identify and resolve conflict during the decision-making process will result in stronger group consensus, while existing studies rarely discuss the multi-criteria large-scale group decision-making (LSGDM) from the perspective of conflict analysis and resolution. This paper systematically studies conflict analysis and resolution approach to obtain consensus decision results. Conflicts among decision makers (DMs) in LSGDM are divided into two kinds: goal conflicts and cognitive conflicts. Based on Pawlak conflict analysis, we introduce three relations among DMs, i.e., conflict, neutrality, alliance into multi-criteria LSGDM in linguistic contexts. Based on linguistic assessment, an improved Pawlak conflict analysis is used to analyze goal conflicts, and the alliance of DMs and the weight of criteria are obtained. According to three cognitive conflict relations, a conflict coordination and feedback mechanism is designed to resolve cognitive conflicts between alliance pairs. Finally, an illustrative example is used to verify the effectiveness and applicability of the proposed model.

Suggested Citation

  • Junliang Du & Sifeng Liu & Yong Liu & Liangyan Tao, 2023. "Multi-criteria Large-Scale Group Decision-Making in Linguistic Contexts: A Perspective of Conflict Analysis and Resolution," Group Decision and Negotiation, Springer, vol. 32(1), pages 177-207, February.
  • Handle: RePEc:spr:grdene:v:32:y:2023:i:1:d:10.1007_s10726-022-09804-y
    DOI: 10.1007/s10726-022-09804-y
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    References listed on IDEAS

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    1. Liu, Bingsheng & Shen, Yinghua & Zhang, Wei & Chen, Xiaohong & Wang, Xueqing, 2015. "An interval-valued intuitionistic fuzzy principal component analysis model-based method for complex multi-attribute large-group decision-making," European Journal of Operational Research, Elsevier, vol. 245(1), pages 209-225.
    2. Liu, Peide & Li, Ying, 2021. "An improved failure mode and effect analysis method for multi-criteria group decision-making in green logistics risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    3. Kacprzyk, Janusz & Fedrizzi, Mario, 1988. "A `soft' measure of consensus in the setting of partial (fuzzy) preferences," European Journal of Operational Research, Elsevier, vol. 34(3), pages 316-325, March.
    4. Wenyu Yu & Zhen Zhang & Qiuyan Zhong, 2021. "Consensus reaching for MAGDM with multi-granular hesitant fuzzy linguistic term sets: a minimum adjustment-based approach," Annals of Operations Research, Springer, vol. 300(2), pages 443-466, May.
    5. Chao, Xiangrui & Kou, Gang & Peng, Yi & Viedma, Enrique Herrera, 2021. "Large-scale group decision-making with non-cooperative behaviors and heterogeneous preferences: An application in financial inclusion," European Journal of Operational Research, Elsevier, vol. 288(1), pages 271-293.
    6. Pawlak, Zdzislaw, 2005. "Some remarks on conflict analysis," European Journal of Operational Research, Elsevier, vol. 166(3), pages 649-654, November.
    7. Du, Junliang & Liu, Sifeng & Liu, Yong, 2022. "A limited cost consensus approach with fairness concern and its application," European Journal of Operational Research, Elsevier, vol. 298(1), pages 261-275.
    8. Qifeng Wan & Xuanhua Xu & Xiaohong Chen & Jun Zhuang, 2020. "A Two-Stage Optimization Model for Large-Scale Group Decision-Making in Disaster Management: Minimizing Group Conflict and Maximizing Individual Satisfaction," Group Decision and Negotiation, Springer, vol. 29(5), pages 901-921, October.
    9. Huang, Bing & Li, Huaxiong & Feng, Guofu & Zhou, Xianzhong, 2019. "Dominance-based rough sets in multi-scale intuitionistic fuzzy decision tables," Applied Mathematics and Computation, Elsevier, vol. 348(C), pages 487-512.
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