摘要
提出一种基于局部最佳聚类权重熵的物流电子商务交易评估模型,在交易评估的过程中融入了风险制约因子,定量分析风险制约因子,依据交易风险制约因子的信息熵分割风险因素的局部聚类区域,通过局部聚类区域改进方法获取最佳的相关因子权重值,得到物流电子商务交易时的最大风险。实验结果表明,该评估模型能够对大规模物流电子商务交易过程中的风险进行准确的评估,并且具有较高的评估精度,具有较强的应用价值。
In this paper, we proposed a logistics e-commerce transaction evaluation model based on the weighted entropy in optimal local clustering, added the risk constrain factor into the evaluation process and then through a specific procedure determined the maximum risk in logistics e-commerce transactions. Next, through an experiment, we verified that the model could accurately evaluate the risks in large-scale logistics e-commerce transactions and was of rather high applied value.
出处
《物流技术》
北大核心
2013年第9期254-256,260,共4页
Logistics Technology
基金
江西省省级课题"基于电子商务的企业物流信息系统建设的探索与实践"(JXJG-12-35-8)
关键词
物流电子商务
交易风险评估
局部聚类改进
区域分割
权重熵
logistics e-commerce
transaction risk evaluation
local clustering improvement
regional demarcation
weighted entropy
