摘要
针对电子商务交易风险的识别率低与评估难等问题,本文充分利用贝叶斯网络和层次分析法在进行风险的分析控制上的优势,构建了一种以贝叶斯网络和层次分析法为基础的电子商务交易的风险分析控制模型。仿真实现的结果表明,基于贝叶斯网络和层次分析法的电子商务交易的分析控制模型可提高风险识别准确率,为企业进行风险的分析与控制提供了较有效的帮助。
Aiming at the problems of low recognition rate and difficult assessments on risk in the process of electronic commerce transaction, the risk analysis and control model which was based on Bayesian Networks and Analytic Hierarchy Process(AHP) was proposed. The simulation results shows that the model can improve recognition rate and provide enterprise effective help on analyzing and control ing risk.
基金
青岛市民生计划项目"电子商务可信交易技术标准研究与应用"(13-1-3-136-jh)
关键词
电子商务交易
贝叶斯网络
层次分析法
风险
分析控制
electronic commerce transaction
bayesian networks
analytic hierarchy process
risk
analysis and control
