Risk Evaluation of Information System Based on Fuzzy Neural Network
基于模糊神经网络的信息系统风险分析

This article attempts to research a comprehensive model to quantify the risk.At first,the hierarchy model for the probability of uncertain events and the severity of adverse effects are constructed.And then Artificial Neural Network(ANN) and Fuzzy Comprehensive Evaluation(FCE) method are applied to measure the weight coefficients and quantify the risk factors in the hierarchy model.At last a calculation example is illustrated to show the method how to work.And linear regression is applied to detect the model's performance.It is believed that the method put forward by this paper cannot only quantify the risk of information system,but also can effectively choose the strategy for risk management.