决策树算法在第三方物流企业信用评级中的研究与应用

Study and Application of Decision Tree in Credit Evaluation of Third-party Logistics Enterprise

第三方物流企业是电子商务运行中的重要环节,其健康发展对电子商务具有非常重要的作用,但是目前第三方物流企业的信用问题成为电子商务物流发展的一大障碍。文章将决策树模型引入到第三方物流企业信用评级体系中,采用决策树ID3算法,通过定量计算训练集样本中各属性信息,准确得到决策树。实践表明,该决策树经过测试样本的测试和调整后准确率较高,能较好地运用于信用评级中。

The third party logistics enterprise is an important link in the operation of electronic commerce,its healthy development plays a very important role in electronic commerce,but the credit problems of the third party logistics enterprise has become a major obstacle to the development of E-commerce logistics. In this paper,the decision tree model is introduced into the credit rating system of the third party logistics enterprises. Using decision tree ID3 algorithm,calculating the attribute information among the large training sample sets,to get an accurate decision tree. Practice shows that,through several adjustment and test from sample sets,the decision tree has a high accuracy,and can be well applied to credit rating.