Deseasonalised forecasting model of rainfall distribution using fuzzy time series
Flood is a frequent occurrence which has a high calamity impact on human lifestyle, environment and economics.Although, there are various methods in the vast literature to predict rainfall distributions so as to prevent flood occurrences, the accuracy of these methods still remain a huge concern.The...
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| Format: | Article |
| Language: | English |
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Universiti Utara Malaysia Press
2016
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| Online Access: | https://repo.uum.edu.my/id/eprint/24072/1/JICT%20%2015%202%202016%20153%E2%80%93169.pdf |
| _version_ | 1825805041335795712 |
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| author | Othman, Mahmod Azahari, Siti Nor Fathihah |
| author_facet | Othman, Mahmod Azahari, Siti Nor Fathihah |
| author_sort | Othman, Mahmod |
| collection | UUM |
| description | Flood is a frequent occurrence which has a high calamity impact on human lifestyle, environment and economics.Although, there are various methods in the vast literature to predict rainfall distributions so as to prevent flood occurrences, the accuracy of these methods still remain a huge concern.Therefore, this study explores the application of the fuzzy time series method in order to obtain more accurate rainfall distribution predictions.Data for the study were collected from the Drainage and Irrigation Department Perlis (DID) of Malaysia.The data were analysed and validated using the mean square error (MSE) and the root mean squared error (RMSE).The result of the validation was compared with selected results in previous methods.The validation analysis depicts that this method has a higher forecasting accuracy than the previous methods. |
| first_indexed | 2024-07-04T06:25:25Z |
| format | Article |
| id | uum-24072 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T06:25:25Z |
| publishDate | 2016 |
| publisher | Universiti Utara Malaysia Press |
| record_format | eprints |
| spelling | uum-240722018-04-29T01:43:36Z https://repo.uum.edu.my/id/eprint/24072/ Deseasonalised forecasting model of rainfall distribution using fuzzy time series Othman, Mahmod Azahari, Siti Nor Fathihah QA75 Electronic computers. Computer science Flood is a frequent occurrence which has a high calamity impact on human lifestyle, environment and economics.Although, there are various methods in the vast literature to predict rainfall distributions so as to prevent flood occurrences, the accuracy of these methods still remain a huge concern.Therefore, this study explores the application of the fuzzy time series method in order to obtain more accurate rainfall distribution predictions.Data for the study were collected from the Drainage and Irrigation Department Perlis (DID) of Malaysia.The data were analysed and validated using the mean square error (MSE) and the root mean squared error (RMSE).The result of the validation was compared with selected results in previous methods.The validation analysis depicts that this method has a higher forecasting accuracy than the previous methods. Universiti Utara Malaysia Press 2016 Article PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/24072/1/JICT%20%2015%202%202016%20153%E2%80%93169.pdf Othman, Mahmod and Azahari, Siti Nor Fathihah (2016) Deseasonalised forecasting model of rainfall distribution using fuzzy time series. Journal of Information and Communication Technology, 15 (2). pp. 153-169. ISSN 2180-3862 http://jict.uum.edu.my/index.php/previous-issues/149-1 |
| spellingShingle | QA75 Electronic computers. Computer science Othman, Mahmod Azahari, Siti Nor Fathihah Deseasonalised forecasting model of rainfall distribution using fuzzy time series |
| title | Deseasonalised forecasting model of rainfall distribution using fuzzy time series |
| title_full | Deseasonalised forecasting model of rainfall distribution using fuzzy time series |
| title_fullStr | Deseasonalised forecasting model of rainfall distribution using fuzzy time series |
| title_full_unstemmed | Deseasonalised forecasting model of rainfall distribution using fuzzy time series |
| title_short | Deseasonalised forecasting model of rainfall distribution using fuzzy time series |
| title_sort | deseasonalised forecasting model of rainfall distribution using fuzzy time series |
| topic | QA75 Electronic computers. Computer science |
| url | https://repo.uum.edu.my/id/eprint/24072/1/JICT%20%2015%202%202016%20153%E2%80%93169.pdf |
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