摘要
针对传统财务风险评估方法效率低、预测精准度差等问题,构建了一种适用的财务风险评估模型。该模型基于灰色系统理论,并结合了数据包络分析模型进行改进,能提高预测效率和减少预测误差。根据已有的保险措施进行风险分析,判断整个财务管理系统是否能够承受该风险,得出结论并进行下一步具体实施。按照实际减少的投入向量与增加的产出向量的值进行调整,实现DEA模型对财务风险灰色系统模型的预测结果的优化。通过实验表明,这个评估模型克服了现有技术存在的不足,能够进行高效率、高精准的财务风险预测,最小预测误差率达到4.4%。
Aiming at the problems of low efficiency and poor prediction accuracy of traditional financial risk assessment methods,this paper constructs an applicable financial risk assessment model.Based on grey system theory and data envelopment analysis model,the model improves the prediction efficiency and reduces the prediction error.According to the existing insurance measures,risk analysis is carried out to judge whether the whole financial management system can bear the risk,and draw a conclusion and carry out specific implementation in the next step.According to the actual reduced input vector and increased output vector,the DEA model is used to optimize the prediction results of the grey system model of financial risk.Experimental results show that the evaluation model of this study overcomes the shortcomings of the existing technology,and can predict the financial risk with high efficiency and accuracy.The minimum prediction error rate is 4.4%.
作者
陈友娴
CHEN Youxian(Chinese Medicine Jiangsu Province Hospital of Chinese Medicine,Affiliated Hospital of Nanjing University,Nanjing 210000,China)
出处
《微型电脑应用》
2022年第7期43-47,共5页
Microcomputer Applications
基金
南京市南京中医药大学附属医院(NJ2020JK0170389)。
关键词
财务风险
灰色系统理论
数据包络分析
权重值
指标体系
financial risk
grey system theory
data envelopment analysis
weight value
index system
