Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (19): 227-229.

• 工程与应用 • Previous Articles     Next Articles

Virtual enterprise knowledge sharing risk early-warning based on heuristic attribute reduction

SHI Cheng-dong1,2,GUO Fu-li2,BIAN Dun-xin1   

  1. 1.School of Electric and Electronic Engineering,Shandong University of Technology,Zibo,Shandong 255049,China
    2.School of Business Administration,Xi’an University of Technology,Xi’an 710048,China
  • Received:2007-09-29 Revised:2007-11-27 Online:2008-07-01 Published:2008-07-01
  • Contact: SHI Cheng-dong

基于启发式约简的虚拟企业知识共享风险预警

史成东1,2,郭福利2,边敦新1   

  1. 1.山东理工大学 电气与电子工程学院,山东 淄博 255049
    2.西安理工大学 工商管理学院,西安 710048
  • 通讯作者: 史成东

Abstract: 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,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.

Key words: rough sets, heuristic attribute reduction, virtual enterprise knowledge sharing, risk early-warning

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。

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