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

Junliang Du (), Sifeng Liu (), Yong Liu () and Liangyan Tao ()
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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

Group Decision and Negotiation, 2023, vol. 32, issue 1, No 7, 177-207

Abstract: 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.

Keywords: Large-scale group decision-making (LSGDM); Conflict analysis and resolution; Cognitive conflicts; Goal conflicts (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s10726-022-09804-y

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