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

PDF Restricted to Registered users only Download (6MB) | Request a copy

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.

Item Type:	Article
Uncontrolled Keywords:	fuzzy time series, rainfall distribution, deseasonalising, rainfall forecasting
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	School of Computing
Depositing User:	Mrs. Norazmilah Yaakub
Date Deposited:	29 Apr 2018 01:43
Last Modified:	29 Apr 2018 01:43
URI:	https://repo.uum.edu.my/id/eprint/24072

Actions (login required)

View Item