Flood Forecasting Application System By Using Dempster Shafer Theory Of Evidence

Nur Izzati Liyana, Muhamad Mazlan (2012) Flood Forecasting Application System By Using Dempster Shafer Theory Of Evidence. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

The project is about an application on Flood Forecasting Application System using Dempster Shafer Theory. The scope for this project is around Malacca and this application is built using otlline data that obtained from the Department of Irrigation and Drainage, Melaka. The purpose of this application is to predict the probability of getting invo lves in flood disaster around Melaka. This applicat ion also can perceive the area the most frequent ly label as the high potential for the flood disaster. Therefore, it is very important for residents to know the risky area as we can take the precautionary to fuce the problem. This application will compute all the possibility using the uncertainty theory which is Dempster Shafer Theory. It's came with the best probability calculation where it can give us the best detection area for the flood disaster. Based to this theory, it will calculate the probability based on several factors like proportion of rainfall, water level of nearest river and rat io for how frequent rainy day in a month. Here, the Dempster Shafer theory is used to calculate and predict the area of high potential to occur flood disaster based on the inputs or attributes &om the datasets. This applicat ion will develops using the Mathlab language and the algorithm of the Dempster Shafer theory will be applied into Mathlab software.

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