Supply Chain Risk Fuzzy Evaluation Based on Dynamic Entropy

The supply chain, as a result of its cross-organization, cross-industrial, cross-regional and even cross border properties, faces huge risks and the effective monitoring and control over the supply chain risks is subject to the scientific evaluation. This paper presents the supply chain risk fuzzy evaluation model while classifying and specifying the supply chain risks and establishing the supply chain risk evaluation indicator system. Such model takes into account both the difference of indicator information and the inter-indicator relationship in quantifying the indicators reasonably and illuminates the advantages and practicability of this model with examples.