A fuzzy inference system for modelling streamflow: Case of Letaba River, South Africa

The Nash-Sutcliffe efficiency results obtained in calibration and verification showed average values of 0.658 and 0.535 with poor values on the first river reach. Very low percent bias values averaging to −0.4% and −2.7% in calibration and verification are obtained highlighting the model's potential for applications where mass balance considerations are most important.