Modified weighted for enrollment forecasting based on fuzzy time series
The enrollment study is main point for the university planning. Many previous studies have been presented for enrollment forecasting. This paper proposed the adoption the weighted and the difference between actual data toward midpoint interval based on fuzzy time series. By using the enrollment of t...
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Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia
2009
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my.utm.219502017-10-17T00:18:45Z http://eprints.utm.my/id/eprint/21950/ Modified weighted for enrollment forecasting based on fuzzy time series Lee, Muhammad Hisyam Efendi, Riswan Ismail, Zuhaimy Q Science (General) QA Mathematics The enrollment study is main point for the university planning. Many previous studies have been presented for enrollment forecasting. This paper proposed the adoption the weighted and the difference between actual data toward midpoint interval based on fuzzy time series. By using the enrollment of the University of Alabama and Universiti Teknologi Malaysia (UTM), as data sets for training and testing, the performance of the adoption approach has been shown much improvement in terms of MSE (Mean Square Error) and average error of forecasting measurements. Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia 2009-06 Article PeerReviewed text/html en http://eprints.utm.my/id/eprint/21950/1/20092517.pdf Lee, Muhammad Hisyam and Efendi, Riswan and Ismail, Zuhaimy (2009) Modified weighted for enrollment forecasting based on fuzzy time series. MATEMATIKA, 25 (1). pp. 67-78. ISSN 0127-8274 |
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Q Science (General) QA Mathematics Lee, Muhammad Hisyam Efendi, Riswan Ismail, Zuhaimy Modified weighted for enrollment forecasting based on fuzzy time series |
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The enrollment study is main point for the university planning. Many previous studies have been presented for enrollment forecasting. This paper proposed the adoption the weighted and the difference between actual data toward midpoint interval based on fuzzy time series. By using the enrollment of the University of Alabama and Universiti Teknologi Malaysia (UTM), as data sets for training and testing, the performance of the adoption approach has been shown much improvement in terms of MSE (Mean Square Error) and average error of forecasting measurements. |
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Article |
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Lee, Muhammad Hisyam Efendi, Riswan Ismail, Zuhaimy |
author_facet |
Lee, Muhammad Hisyam Efendi, Riswan Ismail, Zuhaimy |
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Lee, Muhammad Hisyam |
title |
Modified weighted for enrollment forecasting based on fuzzy time series |
title_short |
Modified weighted for enrollment forecasting based on fuzzy time series |
title_full |
Modified weighted for enrollment forecasting based on fuzzy time series |
title_fullStr |
Modified weighted for enrollment forecasting based on fuzzy time series |
title_full_unstemmed |
Modified weighted for enrollment forecasting based on fuzzy time series |
title_sort |
modified weighted for enrollment forecasting based on fuzzy time series |
publisher |
Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia |
publishDate |
2009 |
url |
http://eprints.utm.my/id/eprint/21950/1/20092517.pdf http://eprints.utm.my/id/eprint/21950/ |
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13.18916 |