Volume 10, Issue 2, October 2014, Pages 409–420
Phuoc-Hai Nguyen1, Tian-Wei Sheu2, Phung-Tuyen Nguyen3, Duc-Hieu Pham4, and Masatake Nagai5
1 Graduate Institute of Educational Measurement and Statistics, National Taichung University of Education, Taichung City, Taiwan
2 Graduate Institute of Educational Measurement and Statistics, National Taichung University of Education, Taichung City, Taiwan
3 Graduate Institute of Educational Measurement and Statistics, National Taichung University of Education, Taichung City, Taiwan
4 Graduate Institute of Educational Measurement and Statistics, National Taichung University of Education, Taichung City, Taiwan
5 Graduate Institute of Educational Measurement and Statistics, National Taichung University of Education, Taichung City, Taiwan
Original language: English
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The purpose of this study is to use T-GM(1,1) and T-DGM(2,1) to predict the number of foreign students studying in Taiwan. T-GM(1,1) and T-DGM(2,1) are two prediction models based on Taylor approximation method in grey system theory to improve the predicted accuracy of GM(1,1) and DGM(2,1). Two combined models can obtain the most optimal values of prediction by multi-times approximate calculation. In addition, researchers used the MATLAB software to develop a MATLAB toolbox for two prediction models. In this study, results are not only conducted to serve as a reference for the educational administrators but also can assist the government in developing future policies regarding educational management. The accurate prediction of the number of foreign students studying in Taiwan will provide important information for educational managers to continue to attract and efficient use of resources, bring international cooperation for training and scientific research. It will not only help the managers to make good educational scholarship program for foreign students studying in Taiwan but also improve the effectiveness of education for international cooperation in education and training.
Author Keywords: T-GM(1, 1), T-DGM(2, 1), Taylor approximation method, grey system theory, MATLAB toolbox.
Phuoc-Hai Nguyen1, Tian-Wei Sheu2, Phung-Tuyen Nguyen3, Duc-Hieu Pham4, and Masatake Nagai5
1 Graduate Institute of Educational Measurement and Statistics, National Taichung University of Education, Taichung City, Taiwan
2 Graduate Institute of Educational Measurement and Statistics, National Taichung University of Education, Taichung City, Taiwan
3 Graduate Institute of Educational Measurement and Statistics, National Taichung University of Education, Taichung City, Taiwan
4 Graduate Institute of Educational Measurement and Statistics, National Taichung University of Education, Taichung City, Taiwan
5 Graduate Institute of Educational Measurement and Statistics, National Taichung University of Education, Taichung City, Taiwan
Original language: English
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
The purpose of this study is to use T-GM(1,1) and T-DGM(2,1) to predict the number of foreign students studying in Taiwan. T-GM(1,1) and T-DGM(2,1) are two prediction models based on Taylor approximation method in grey system theory to improve the predicted accuracy of GM(1,1) and DGM(2,1). Two combined models can obtain the most optimal values of prediction by multi-times approximate calculation. In addition, researchers used the MATLAB software to develop a MATLAB toolbox for two prediction models. In this study, results are not only conducted to serve as a reference for the educational administrators but also can assist the government in developing future policies regarding educational management. The accurate prediction of the number of foreign students studying in Taiwan will provide important information for educational managers to continue to attract and efficient use of resources, bring international cooperation for training and scientific research. It will not only help the managers to make good educational scholarship program for foreign students studying in Taiwan but also improve the effectiveness of education for international cooperation in education and training.
Author Keywords: T-GM(1, 1), T-DGM(2, 1), Taylor approximation method, grey system theory, MATLAB toolbox.
How to Cite this Article
Phuoc-Hai Nguyen, Tian-Wei Sheu, Phung-Tuyen Nguyen, Duc-Hieu Pham, and Masatake Nagai, “Taylor Approximation Method in Grey System Theory and Its Application to Predict the Number of Foreign Students Studying in Taiwan,” International Journal of Innovation and Scientific Research, vol. 10, no. 2, pp. 409–420, October 2014.
