Comparison matrix and weights of criteria <i>B</i>₂.

Considering economic, environmental, and social issues, the sustainability of the supply chain has drawn considerable attention due to societal and environmental changes within the supply chain network. The strategic study of the entire supply chain process and maximizing an organization’s competitive advantage depend heavily on supplier selection based on sustainable indicators. Selecting sustainable suppliers for the supply chain is challenging since it is a multi-criteria decision-making (MCDM) problem with significant uncertainty in the decision-making process. This study uses the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) technique and single-valued neutrosophic sets (SVNS) to deal with the challenge of choosing a sustainable supplier with insufficient information. This method reduces the influence of personal experience and preference on the final evaluation results and the problem of excessive individual regret caused by factor correlation and improves the consistency of evaluation results. Finally, the method’s success and adaptability are demonstrated by sensitivity analysis and additional comparison analysis, and the benefits and drawbacks of the suggested framework are examined. Compared to other approaches, it can assist decision-makers in communicating fuzzy and uncertain information, offering a perspective and approach for MCDM in the face of such situations, and helping them select suppliers of high caliber and who practice sustainable business practices.考虑到经济、环境与社会维度的多重议题，供应链网络内的社会与环境变革使得供应链可持续性受到广泛关注。对供应链全流程开展战略研究，以及最大化组织的竞争优势，高度依赖于基于可持续性指标的供应商选择工作。为供应链遴选可持续供应商极具挑战性，因为这是一类决策过程中存在显著不确定性的多准则决策（MCDM）问题。本研究采用VlseKriterijumska Optimizacija I Kompromisno Resenje（VIKOR）方法与单值中智集（SVNS），以解决信息不足场景下的可持续供应商遴选难题。该方法能够削弱个人经验与偏好对最终评价结果的影响，同时缓解因指标关联引发的个体遗憾过度问题，提升评价结果的一致性。最后，通过敏感性分析与对比分析验证了所提方法的有效性与适用性，并探讨了所提出框架的优劣性。相较于其他方法，本方法可辅助决策人员传递模糊与不确定信息，为应对此类场景下的多准则决策问题提供了新思路与新途径，同时助力其遴选具备高质量运营与可持续商业实践的供应商。