Fuzzy-Based Simulation Model to Predict Flow Rate in Water Distribution Network System

In this paper, an intelligent system using fuzzy logic was proposed to improve on the prediction of flow rate despite uncertainty in input parameters and nodal demand. This method simulates the effect of operating conditions (pipe diameter, length of pipe and frictional factor) on the flow rate. Obtained results were compared using the total error, model of selection criterion. The results revealed that fuzzy logic performed better with total error 0.033 and 0.057 Newton-Raphson respectively. It was concluded that fuzzy logic is an improved water flow rate prediction model than newton-Raphson.

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