Abstract: Through analyzing the evaluation criteria of virtual enterprise knowledge sharing risk early-warning system which is one of the important supply chain organizations，a hierarchical structure evaluation attribute model is proposed in this paper.Then，utilizing the basic theory and method of rough sets and grey，a virtual enterprise knowledge sharing risk early-warning model framework structure based on heuristic attribute is established，in order to optimize attributes，the heuristic attribute reduction algorithm based on discernable matrix is put forward.On this basis，virtual enterprise knowledge sharing risk is assessed with the use of gray theory.Finally an example is used to verify the effectiveness and the practical value of the method.

Key words: rough sets, grey theory, discernable matrix, supply chain knowledge sharing, risk early-warning

摘要： 从分析供应链的重要组织形式—虚拟企业的知识共享风险预警的评价标准入手，提出具有层次结构的风险预警评价属性模型。然后，利用粗糙集和灰色的基本理论和方法，建立基于粗糙集和灰色理论的供应链知识共享风险预警模型框架结构图，并给出其中的基于分辨矩阵的指标属性约简算法，优化评价指标。在此基础上，使用灰色理论对知识共享的风险进行评估。最后通过实例说明该预警模型的有效性及实用性。

关键词: 粗糙集, 灰色理论, 分辨矩阵, 供应链知识共享, 风险预警