The fresh cold chain network is complex, and the interruption risk can significantly impact it. Based on the Bayesian theory, we constructed a fresh cold chain network interruption risk topology structure. The probability of each root node was predicted and calculated based on the fuzzy set theory. The evaluation model was then validated and improved through the virus transmission model based on risk transmission. Sensitivity analysis was used to determine significant risk factors. Several strategies for minimizing interruption risks were identified.

中文翻译：

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基于模糊贝叶斯网络的生鲜冷链网络中断风险评估与传输

生鲜冷链网络复杂，中断风险对其影响较大。基于贝叶斯理论，我们构建了新鲜的冷链网络中断风险拓扑结构。基于模糊集理论对每个根节点的概率进行预测和计算。然后通过基于风险传播的病毒传播模型对评估模型进行验证和改进。敏感性分析用于确定重要的危险因素。确定了几种将中断风险降至最低的策略。