Chapter 7 Conclusions and Recommendations
7.2 Recommendations
The recommendations for future research have been drawn from experience in this study:
(1) This study only uses common prediction models to predict and evaluate in educational information and measurement. In the future, it will be suggested to develop new prediction models based on Taylor approximation method in grey prediction. The MATLAB toolbox not only is applied in educational information and measurement in this study but also can be suggested to use in many fields such as industry, economics, and medicine.
(2) In this study, the graphical user interface of the MATLAB toolbox is not good to display graphs with high resolution. Thus, the research is suggested to develop in order to achieve better efficiency in the future. The proposed MATLAB toolbox is suggested to be compared with other toolbox of relevant theory to reach better effect.
(3) For the prediction models, this study only compares the results obtained from grey models with Taylor approximation method in grey prediction. In the future, they is suggested to be compared with other prediction models.
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Appendix 2
Academic Papers of Author
Journal Papers
1. Sheu, T. W., Nguyen, P. H., Nguyen, P. T., Pham, D. H., Tsai, C. P., & Nagai, M. (2014). Using GM(2,1) and T-GM(2,1) to predict the number of students for admission. Journal of Information and Computational Science, 11(17), 6085-6096. (Engineering Index – EI)
2. Sheu, T. W., Nguyen, P. H., Nguyen, P. T., Pham, D. H., Tsai, C. P., & Nagai, M.
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(2014). Using the Combination of GM (1, 1) and Taylor Approximation Method to Predict the Academic Achievement of Student. SOP Transactions on Applied Mathematics, 1(2), 55-69.
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(2014). A MATLAB Toolbox for Misconceptions Analysis Based on S-P Chart, Grey Relational Analysis and ROC. Transactions on Machine Learning and Artificial Intelligence, 2(2), 72-85.
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(2014). The Combination of Grey System Theory and Receiver Operating
(2014). The Combination of Grey System Theory and Receiver Operating