摘要
合理管理供应链金融风险,属于拓展中小企业融资渠道与推动银行供应链业务的实际需求和关键任务。基于信用风险管理的角度,构建基于粒子群协同优化算法的食用菌生产企业供应链金融信用风险评价模型,评价食用菌生产企业供应链金融模式的信用风险。将参加食用菌生产企业信用风险预测的指标特征数据,通过基于离差标准化的数据预处理方法去除冗余数据,基于此数据通过粒子群协同优化算法获取最佳特征子集,以此构建食用菌生产企业供应链金融风险评价模型,实现食用菌生产企业供应链金融模式的信用风险评价。经验证,该方法可高精度评价食用菌生产企业供应链金融模式信用风险。
Reasonable management of supply chain financial risks belongs to the actual needs and key tasks of expanding financing channels for SMEs and promoting bank supply chain business.Based on the perspective of credit risk management,a financial credit risk evaluation model of edible fungi production enterprise supply chain based on particle swarm collaborative optimization algorithm is constructed to evaluate the credit risk of edible fungi production enterprise supply chain financial model.The index feature data of the credit risk prediction of participating edible fungi production enterprises will be removed by data pre-processing methods based on dispersion standardization.Based on this data,the best feature subset will be obtained through the particle swarm collaborative optimization algorithm to construct edible fungi.The supply chain financial risk evaluation model of the production enterprise realizes the credit risk evaluation of the supply chain financial model of the edible fungi production enterprise.It has been verified that this method can accurately assess the credit risk of the supply chain financial model of edible fungi production enterprises.
作者
陈婷
CHEN Ting(Nanning Normal University,School of Logistics Management and Engineering,Nanning 530299,China)
出处
《中国食用菌》
北大核心
2020年第4期169-172,共4页
Edible Fungi of China
基金
2016年度广西高校中青年教师基础能力提升项目(KY2016YB265)。
关键词
食用菌
生产企业
供应链
金融模式
信用
风险评价
edible fungi
production enterprise
supply chain
financial model
credit
risk assessment
