Strategic behavior is common in multi-criteria sorting, where manipulated alternatives are allocated to the target category to achieve the intended goal. Engaging in such strategic behavior in sorting consensus often comes at a cost, which is closely tied to the degree of preference adjustments and the level of trust relationships among decision makers. This study investigates strategic behavior using piecewise cost-based consensus mechanism in social trust network. Firstly, the trust relationship dependent piecewise cost is formally defined and formulated by considering the impact of trust relationship on the preference adjustments willingness to achieve sorting consensus. Then, based on the trust relationship dependent piecewise cost, a preference strategic manipulation model is proposed to achieve strategic behavior in sorting consensus, which is implemented by minimizing the cost of strategically guiding decision makers in adjusting their preferences. Considering that social trust network affects strategic manipulation, a preference-network collaborative strategic manipulation model is further proposed, which is designed to strategically guide decision makers in adjusting both their preferences and social trust networks. Moreover, the practicality of proposed strategic manipulation models is exemplified through a case study on supply chain risk management and their performance is validated via simulation analysis.

中文翻译：

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基于信任关系的共识机制下多标准排序中的策略行为研究——在供应链风险管理中的应用


战略行为在多标准排序中很常见，其中纵的备选方案分配给目标类别以实现预期目标。在排序共识时采取这种战略行为往往是有代价的，这与偏好调整的程度和决策者之间的信任关系水平密切相关。本研究在社会信任网络中使用基于分段成本的共识机制调查了战略行为。首先，通过考虑信任关系对偏好调整意愿的影响，正式定义和制定信任关系依赖的分段成本，以达成排序共识;然后，基于信任关系依赖的分段成本，提出一种偏好策略操纵模型，以实现排序共识中的策略行为，通过最小化战略性引导决策者调整偏好的成本来实现。考虑到社会信任网络影响策略操纵，进一步提出了一种偏好-网络协同策略操纵模型，旨在战略性地指导决策者调整偏好和社会信任网络。此外，通过供应链风险管理的案例研究证明了所提出的战略操纵模型的实用性，并通过仿真分析验证了它们的性能。