Forecasting Model of Unconventional Emergence Incident's Resource Demand Based on Case-based Reasoning
X Wang · Journal of Xidian University · 2010
In recent years the unconventional emergence incident occurred frequently,which is seriously harmful to people’s lives and property.So how to predict resource requirements after disasters timely becomes an important issue.This paper presents an accurate prediction method--case-based reasoning,combined with fuzzy set theory,neural network Hebb learning rule and multiple linear regression.This approach can make quite accurate resources demand forecasts for this kind of information incomplete,not precise question.At the same time,this model has some reference value to the prediction of the disaster resource demand.