基于数据挖掘技术的出口食品加工企业检验检疫信用评估

Inspection and quarantine credit of export food processing enterprise rating model based on data mining

在分析出口食品加工企业检验检疫信用的基础上,提出用于出口食品加工企业检验检疫信用评估的指标体系,建立基于决策树和人工神经网络的数据挖掘模型,具有对企业检验检疫信用的预测评估功能,减少了企业检验检疫信用评估传统的定性方法中权重确定的人为因素,为出口食品加工企业分类管理提供科学参考。

On the basis of analyzing the Inspection and quarantine credit of export food processing enterprises, we set up the Index system for the export food processing enterprise Inspection and quarantine credit rating, and create the rating models based on the decision tree and neural networks, which can be used for evaluating the Inspection and quarantine credit of export food processing enterprise. The new models can decrease the personal factors in the conventional methods of Inspection and quarantine credit rating, and provide the scientific method for the export food processing enterprise to operate the classified management.