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Finance  2012 

A Forecast Model Based on Fuzzy Approach for the Recovery in Economy after the Earthquake——Illustrated by the Case in Predicting the Recovery in Japanese Economy after the Earthquake

DOI: 10.12677/fin.2012.21001, PP. 1-8

Keywords: 地震恢复预测;模糊数学;主成分分析
Earthquake Forecast
, Fuzzy Mathematics, Principal Component Analysis (PCA)

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At present, it lacks systematic quantitative forecasting models for the recovery in economy after the earthquake. On the other hand, only when the government makes a precise predication for the recovery of the earthquake could it have a sound and correct analysis on the earthquake to undertake proper practices for the reconstructing project after the earthquake. Therefore, after taking the similarity among disasters through- out the procedure of reconstruction into account, we establish the forecasting model via comparing several earthquakes which share most common with the target one. In addition, the degree of similarity in fuzzy mathematics is introduced here. In the empirical analysis section, the recent Japanese earthquake is used to illustrate the exactness of the model. The result of the empirical analysis shows a strong similarity between the real data and our forecasting ones. Last, in order to prove the importance for our model in the government policy after the earthquake, we thoroughly analyze the earthquake effect on our country under the section of manufacturing, energy and investment based on the economy as a whole and the main economic indictors’ recovery computed from our model.


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