Employee Dimission Risk Assessment Management Based on AHP and BP Neural Network

摘要：

Employee dimission risk management is indispensable to the human resource department of one enterprise. Employee dimission risk mainly reflects the dimission warning of employees and the management level of employers, to some extent, reducing the risk and loss stemming from employee dimission and setting up a risk identification and assessment system are the main focus of the paper. By the combination of AHP and BP neural network, the paper construct the risk assessment model of employee dimission risk, and it applies BP neural network for training and testing samples that stems from AHP. The research result indicates that the risk assessment model based on AHP and BP neural network is applicable, what is more, it can reduces the influence of subjectivity.

作者: Yan Lijuan

作者单位: College of Economic and Management of Heilongjiang August First Land Reclamation University, 163319, DaQing,P.R.China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Grey System and Intelligent Services(2009 IEEE灰色系统与服务科学国际会议)

会议地点: 南京

会议语种:英文

页码: 1511-1516

在线出版日期: 2009-10-20（万方平台首次上网日期，不代表论文的发表时间）