The nature of supply chains presents a variety of issues related to uncertainties. Under various uncertainties, risk management plays a crucial role in an effective supply chain decision-making. The uncertainty involved in the risk assessment process can be divided into two types: random uncertainty and epistemic uncertainty. Fuzzy theory has been applied to deal with uncertainties. The purpose of this paper is to analyze the role and contribution of the fuzzy logic in the treatment of epistemic uncertainty into supply chain risk management approaches. A literature review process was performed, followed by analysis and discussions on the examined topic. The results revealed that the integration with multicriteria decision-making and disruptive analysis methods are the most common types adopted, with trend to petri nets and multicriteria decision-making approaches. Supply risks are the most studied type and identification and assessment are the most developed processes in supply chain risk management. Although the publications on the subject has been highlighted, they present some limitations related to the holistic complexity of risks in supply chains, the dynamic nature of the environment and the reliability of the background knowledge in the assessment. In that sense, these remarks reveal interesting future researches lines.

供应链的性质提出了许多与不确定性有关的问题。在各种不确定性下，风险管理在有效的供应链决策中起着至关重要的作用。风险评估过程中涉及的不确定性可以分为两种类型：随机不确定性和认知不确定性。模糊理论已被用于处理不确定性。本文旨在分析模糊逻辑在认知不确定性处理中的作用和贡献，并将其应用于供应链风险管理方法中。进行了文献复审，然后对所研究的主题进行了分析和讨论。结果表明，与多准则决策和破坏性分析方法相集成是最常用的类型，随着Petri网和多准则决策方法的发展。供应风险是研究最多的类型，识别和评估是供应链风险管理中最发达的过程。尽管突出显示了有关该主题的出版物，但它们存在一些局限性，涉及供应链中风险的整体复杂性，环境的动态性质以及评估中背景知识的可靠性。从这个意义上讲，这些言论揭示了有趣的未来研究方向。环境的动态性质以及评估中背景知识的可靠性。从这个意义上讲，这些言论揭示了有趣的未来研究方向。环境的动态性质以及评估中背景知识的可靠性。从这个意义上讲，这些言论揭示了有趣的未来研究方向。