Interruption Risk Assessment and Transmission of Fresh Cold Chain Network Based on a Fuzzy Bayesian Network

نویسندگان

چکیده

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

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ژورنال

عنوان ژورنال: Discrete Dynamics in Nature and Society

سال: 2021

ISSN: ['1607-887X', '1026-0226']

DOI: https://doi.org/10.1155/2021/9922569