Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (33): 198-200.DOI: 10.3778/j.issn.1002-8331.2008.33.060

• 工程与应用 • Previous Articles     Next Articles

Knowledge sharing risk early-warning of logistic alliance(virtual logistic) based on rough sets and fuzzy sets

SHI Cheng-dong1,2,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:2008-04-30 Revised:2008-06-06 Online:2008-11-21 Published:2008-11-21
  • Contact: SHI Cheng-dong

基于粗集和模糊集物流联盟知识共享风险预警

史成东1,2,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: Following appropriate logistic alliance (virtual logistic) knowledge sharing literature reviews,an evaluation index system of logistic alliance is proposed in this paper.Then,utilizing the basic theory and method of rough sets and fuzzy sets,a knowledge sharing risk early-warning model of logistic alliance is established.In addition,in order to optimize the evaluation index system,the heuristic index attribute reduction algorithm based on discernable matrix is put forward.On this basis,logistic alliance knowledge sharing risk is assessed with the use of fuzzy set theory.Finally,an example is used to verify the effectiveness and the practical value of the model.

Key words: rough sets, fuzzy sets, logistic alliance, knowledge sharing, risk early-warning

摘要: 基于对有关物流联盟(虚拟物流)知识共享文献的综述,提出物流联盟知识共享风险预警评价指标体系。然后,利用粗糙集和模糊集的基本理论和方法,建立物流联盟知识共享风险预警模型,并给出基于分辨矩阵的指标属性约简算法,优化模型的评价指标。在此基础上,使用模糊集理论对物流联盟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, 模糊集, 物流联盟, 知识共享, 风险预警