DocumentCode :
168348
Title :
Enhancing the Accurate of Grey Prediction for GDP Growth Rate in Vietnam
Author :
Chia-Nan Wang ; Van-Thanh Phan
Author_Institution :
Dept. of Ind. Eng. & Manage., Nat. Kaohsiung Univ. of Appl. Sci., Kaohsiung, Taiwan
fYear :
2014
fDate :
10-12 June 2014
Firstpage :
1137
Lastpage :
1139
Abstract :
Based on the grey theory, grey prediction models, which are GM (1, 1), have been adopted to predict the Vietnamese GDP growth rate index and modified GM (1, 1) using Fourier series called "FRMGM (1, 1)" for improving the accuracy of forecast model. A forecasting the growth rate of Vietnam GDP from 2013-2015 has also been conducted based on the previous data (from 2000 to 2012) to serve as a reference for government authority in formulating policies as well as orienting development in the future. All data source is collected from the website of the Asian Development Bank. Through simulation results, this study showed that the FRMGM (1, 1) is an excellent model in forecasting models using with average accuracy of predict is 92.72%. Hence, the FRMGM (1, 1) model is strongly suggested in forecasting the GDP growth rate in Vietnam.
Keywords :
Fourier series; economic forecasting; economic indicators; grey systems; Asian Development Bank Website; FRMGM (1, 1); Fourier series; Vietnamese GDP growth rate index; data source collection; forecast model accuracy improvement; government authority; grey prediction accuracy enhancement; grey theory; modified GM (1, 1); Biological system modeling; Economic indicators; Forecasting; Indexes; Mathematical model; Modeling; Predictive models; 1); 1) "FMGM (1; 1)"; Fourier Residual Modified GM (1; GDP growth rate index; GM (1; Vietnam;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer, Consumer and Control (IS3C), 2014 International Symposium on
Conference_Location :
Taichung
Type :
conf
DOI :
10.1109/IS3C.2014.295
Filename :
6846087
Link To Document :
بازگشت