Under the increasing competitive environment of complex supply chain and diversified customer demand for product quality and customer service,quality risks in supply chain become one key issue of supply chain risks.To help companies effectively identify and manage these risks,the quality risk assessment of quality risks in supply chain was presented on the basis of the fuzzy matter-element (FME) model.The quality risks assessment system was studied and the entropy method for index weight and the Euclid approach degree for risk level were used to construct a composite fuzzy matter element model.At the end,the reasonability of the FME model for supply chain quality risks assessment was verified by the fitting of a neural network simulation.