عنوان مقاله [English]
The Fuzzy Sets theory and the Artificial Neural Network are among the latest methods in Water Resources Engineering for systems dealing with complexity or ambiguity and lack enough data. The main advantage of these techniques over traditional methods is that they can investigate the effects of the available parameters on the process in a short time and with no need to cause complex mathematical equations. In this study time series of monthly discharge, temperature, and rainfall are used in the Artificial Neutral Network and Fuzzy Inference System context in order to forecast the flow discharge for the upcoming months. Results of this research showed that the FIS gives better estimation than the ANN.