Noor Zuraidin, Mohd Safar and Azizul Azhar, Ramli and Hirulnizam, Mahdin and Ndzi, David and Ku Muhammad Naim, Ku Khalif (2019) Rain prediction using fuzzy rule based system in North-West Malaysia. Indonesian Journal of Electrical Engineering and Computer Science, 14 (3). pp. 1572-1581. ISSN 2502-4752. (Published)
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Abstract
The warm and humid condition is the characteristic of Malaysia tropical climate. Prediction of rain occurrences is important for the daily operations and decisions for the country that rely on agriculture needs. However predicting rainfall is a complex problem because it is effected by the dynamic nature of the tropical weather parameters of atmospheric pressure, temperature, humidity, dew point and wind speed. Those parameters have been used in this study. The rainfall prediction are compared and analyzed. Fuzzy Logic and Fuzzy Inference System can deal with ambiguity that often occurred in meteorological prediction; it can easily incorporate with expert knowledge and empirical study into standard mathematical. This paper will determine the dependability of Fuzzy Logic approach in rainfall prediction within the given approximation of rainfall rate, exploring the use of Fuzzy Logic and to develop the fuzzified model for rainfall prediction. The accuracy of the proposed Fuzzy Inference System model yields 72%.
| Item Type: | Article |
|---|---|
| Additional Information: | Noor Zuraidin Mohd Safar, Azizul Azhar Ramli, Hirulnizam Mahdin, David Ndzi and Ku Muhammad Naim Ku Khalif; Indexed by Scopus |
| Uncontrolled Keywords: | Expert system; Fuzzy; Fuzzy inference system; Meteorology; Rain prediction; Rainfall forecast; Rainfall prediction; Soft computing; Tropical climate |
| Subjects: | G Geography. Anthropology. Recreation > GB Physical geography G Geography. Anthropology. Recreation > GE Environmental Sciences Q Science > QC Physics |
| Faculty/Division: | Faculty of Industrial Sciences And Technology |
| Depositing User: | Mrs Norsaini Abdul Samat |
| Date Deposited: | 25 Jun 2019 03:41 |
| Last Modified: | 25 Jun 2019 03:41 |
| URI: | http://umpir.ump.edu.my/id/eprint/25131 |
| Download Statistic: | View Download Statistics |
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