Chang-Shian, ChenYou-Da, JhongChao-Hsien, Yeh2015-11-032015-11-032007Chang-Shian, Chen, You-Da Jhong e Chao-Hsien Yeh (2007). "Using an integrated fuzzy inference system and artificial neural network to forecast daily discharge". Portuguese Journal of Management Studies, XII(2):81-98http://hdl.handle.net/10400.5/10014Given the nonlinearity and uncertainty in the rainfall-runoff process, estimating or predicting hydrologic data often encounters tremendous difficulty. This study applied fuzzy theory to create a daily flow forecasting modeL To improve the time-consuming definition process of membership function, which is usually concluded by a trial-and-error approach, this study designated the membership function by artificial neural network {ANN} with either a supervised or unsupervised learning procedure. The supervised learning was processed by the adaptive network based fuzzy inference system {ANFIS}, while the unsupervised learning was created by fuzzy and self-organizing map {SOMFIS}. The results indicate that the ANFIS method under increment flow data could provide more precise results for daily flow forecasting.engFuzzy TheoryArtificial Neural NetworksDischarge ForecastingSelf-Organizing Mapjournal article