Rain prediction using fuzzy rule based system in North-West Malaysia

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 n...

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Main Authors:	Noor Zuraidin, Mohd Safar, Azizul Azhar, Ramli, Hirulnizam, Mahdin, Ndzi, David, Ku Muhammad Naim, Ku Khalif
Format:	Article
Language:	English
Published:	Institute of Advanced Engineering and Science 2019
Subjects:	GB Physical geography GE Environmental Sciences QC Physics
Online Access:	http://umpir.ump.edu.my/id/eprint/25131/ http://umpir.ump.edu.my/id/eprint/25131/ http://umpir.ump.edu.my/id/eprint/25131/ http://umpir.ump.edu.my/id/eprint/25131/1/Rain%20prediction%20using%20fuzzy%20rule%20based%20system.pdf

id	ump-25131
recordtype	eprints
spelling	ump-251312019-06-25T03:41:45Z http://umpir.ump.edu.my/id/eprint/25131/ Rain prediction using fuzzy rule based system in North-West Malaysia Noor Zuraidin, Mohd Safar Azizul Azhar, Ramli Hirulnizam, Mahdin Ndzi, David Ku Muhammad Naim, Ku Khalif GB Physical geography GE Environmental Sciences QC Physics 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%. Institute of Advanced Engineering and Science 2019-06 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/25131/1/Rain%20prediction%20using%20fuzzy%20rule%20based%20system.pdf 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 http://ijeecs.iaescore.com/index.php/IJEECS/article/view/18476 http://doi.org/10.11591/ijeecs.v14.i3.pp1564-1573
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	GB Physical geography GE Environmental Sciences QC Physics
spellingShingle	GB Physical geography GE Environmental Sciences QC Physics Noor Zuraidin, Mohd Safar Azizul Azhar, Ramli Hirulnizam, Mahdin Ndzi, David Ku Muhammad Naim, Ku Khalif Rain prediction using fuzzy rule based system in North-West Malaysia
description	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%.
format	Article
author	Noor Zuraidin, Mohd Safar Azizul Azhar, Ramli Hirulnizam, Mahdin Ndzi, David Ku Muhammad Naim, Ku Khalif
author_facet	Noor Zuraidin, Mohd Safar Azizul Azhar, Ramli Hirulnizam, Mahdin Ndzi, David Ku Muhammad Naim, Ku Khalif
author_sort	Noor Zuraidin, Mohd Safar
title	Rain prediction using fuzzy rule based system in North-West Malaysia
title_short	Rain prediction using fuzzy rule based system in North-West Malaysia
title_full	Rain prediction using fuzzy rule based system in North-West Malaysia
title_fullStr	Rain prediction using fuzzy rule based system in North-West Malaysia
title_full_unstemmed	Rain prediction using fuzzy rule based system in North-West Malaysia
title_sort	rain prediction using fuzzy rule based system in north-west malaysia
publisher	Institute of Advanced Engineering and Science
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/25131/ http://umpir.ump.edu.my/id/eprint/25131/ http://umpir.ump.edu.my/id/eprint/25131/ http://umpir.ump.edu.my/id/eprint/25131/1/Rain%20prediction%20using%20fuzzy%20rule%20based%20system.pdf
first_indexed	2023-09-18T22:38:26Z
last_indexed	2023-09-18T22:38:26Z
_version_	1777416752274079744

Rain prediction using fuzzy rule based system in North-West Malaysia

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