摘要
从虚拟企业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,利用粗糙集的基本理论和方法,建立基于启发式属性约简的虚拟企业知识共享风险预警模型框架结构图,并给出基于分辨矩阵的启发式指标属性约简算法,进行指标优化。最后通过实例说明该预警模型的有效性及实用性。
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,utihzing the basic theory and method of rough sets,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.Finally an example is used to verify the effectiveness and the practical value of the method.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第19期227-229,237,共4页
Computer Engineering and Applications
基金
国家自然科学基金(the National Natural Science Foundation of China under Grant No.70272034)
2007年度陕西省教育厅科学研究项目(No.07JK081)
关键词
粗糙集
启发式属性约简
虚拟企业知识共享
风险预警
rough sets
heuristic attribute reduction
virtual enterprise knowledge sharing
risk early-warning
