Virtual Enterprise Knowledge Sharing Risk Early-Warning Based on Rough Sets and Grey Theory

摘要：

Through analyzing the evaluation criteria of virtual enterprise knowledge sharing risk early-warning system, a hierarchical structure evaluation attribute model is proposed in this paper. Then, utilizing the basic theory and method of rough sets and grey theory, a virtual enterprise knowledge sharing risk early-warning model framework structure based on rough sets 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 grey theory. Finally an example is used to verify the effectiveness and the practical value of the method, the evaluation result of risk early-warning coincides with the actual result.

作者: CHENG-Dong SHI DUN-Xin BIAN

作者单位: School of Electrical and Electronic Engineering,Shandong University of Technology, Zibo 255091, Shan School of Electrical and Electronic Engineering,Shandong University of Technology, Zibo 255091, Shan

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Grey System and Intelligent Services(2009 IEEE灰色系统与服务科学国际会议)

会议地点: 南京

会议语种:英文

页码: 682-686

在线出版日期: 2009-10-20（万方平台首次上网日期，不代表论文的发表时间）