摘要
论述基于模糊优选和神经网络的保险企业经营风险预警方法的理论依据,阐述组成我国保险企业经营风险预警系统的三个重要环节:基于BP神经网络的风险预警指标预测子系统、基于模糊优选理论的风险测评子系统和基于模糊优选BP神经网络的风险报警子系统三个子系统的构建原理,并通过实例分析证明该方法有效、可行。
There are not many valid data because of the short history of Chinese insurance industry. This paper constructs a new model for obtaining a premonition system of operational risk in insurance enterprises by utilizing fuzzy optimum selection and the BP artificial neural network method, and provides the theoretical basis of the model. Then the three important sections in construction of the model are theoretically designed and deduced. These sections include a risk index predicting subsystem based on BP neural network, a risk evaluating sub-system based on fuzzy optimum selection and a risk warning sub-system based on neural network with fuzzy optimum selection. A case study shows that the model is effective and feasible. The model offers a new way of dynamic early warming of operational risk in insurance enterprises of China.
出处
《四川大学学报（哲学社会科学版）》
CSSCI
北大核心
2006年第2期28-34,共7页
Journal of Sichuan University：Philosophy and Social Science Edition
关键词
保险企业
经营风险预警系统
模糊优选
BP神经网络
insurance enterprises
premonition system of operational risk, fuzzy optimum selection, BP artificial neural network.
