Deseasonalised Forecasting Model of Rainfall Distribution Using Fuzzy Time Series

Authors

  • Mahmod Othman Universiti Teknologi PETRONAS, Malaysia
  • Siti Nor Fathihah Azahari Universiti Teknologi MARA, Malaysia

DOI:

https://doi.org/10.32890/jict2016.15.2.8

Keywords:

fuzzy time series, rainfall distribution, deseasonalising, rainfall forecasting

Abstract

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.

 

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Published

28-11-2016

Issue

Vol. 15 No. 2 (2016): Journal of Information and Communication Technology (JICT) Vol.15, No.2, December 2016

Section

Articles

How to Cite

Othman, M., & Azahari, S. N. F. (2016). Deseasonalised Forecasting Model of Rainfall Distribution Using Fuzzy Time Series. Journal of Information and Communication Technology, 15(2), 153-169. https://doi.org/10.32890/jict2016.15.2.8

Research impact

Harvested 2026-09-06
3 citations, from OpenAlex — the highest of the sources checked

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Identifiers DOI 10.32890/jict2016.15.2.8 OpenAlex W2889527923

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