References

Alexandra, p. and Y.J. Asaad, 2006. Development of rainfall-runoff models using takagi-sugeno fuzzy inference system. J. Hydrol., 329: 154-173.
Direct Link  |  

Aqil, M., I. Kita, A. Yano and S. Nishiyama, 2007. A comparative study of artificial neural networks and neuro-fuzzy in continuous modeling of the daily and hourly behaviour of runoff. J. Hydrol., 337: 22-34.
CrossRef  |  

Dawson, C.W. and R. Wilby, 1998. An artificial neural network approach to rainfall-runoff modeling. J. Hydrol. Sci., 43: 47-66.

Firat, M. and M. Gungora, 2007. River flow estimation using adaptive neuro fuzzy inference system. Math. Comput. Simul., 75: 87-96.
CrossRef  |  

Hamaamin, Y.A., A.P. Nejadhashemi and M.D. Einheuser, 2013. Application of fuzzy logic techniques in estimating the regional index flow for Michigan. Trans. ASABE., 56: 103-115.
CrossRef  |  Direct Link  |  

Hundecha, Y., A. Bárdossy and H. Theisen, 2001. Development of a fuzzy logic-based rainfall-runoff model. Hydrol Sci. J., 46: 363-375.
Direct Link  |  

Kurtulus, B. and M. Razack, 2010. Modeling daily discharge responses of a large karstic aquifer using soft computing methods: Artificial neural network and neuro-fuzzy. J. Hydrol., 381: 101-111.
Direct Link  |  

Lohani, A.K., N.K. Goel and K.K.S. Bhatia, 2011. Comparative study of neural network, fuzzy logic and linear transfer function techniques in daily rainfall‐runoff modelling under different input domains. Hydrol. Proces., 25: 175-193.
CrossRef  |  Direct Link  |  

Mahabir, C., F.E. Hicks and R. Fayek, 2003. Application of fuzzy logic to forecast seasonal runoff. Hydrol. Process, 17: 3749-3762.
CrossRef  |  Direct Link  |  

Nayak, P.C., K.P. Sudheer, D.M. Rangan and K.S. Ramasastri, 2004. A neuro-fuzzy computing technique for modeling hydrological time series. J. Hydrol., 291: 52-66.
CrossRef  |  

Rajurkar, M.P., U.C. Kothyari and U.C. Chaube, 2002. Artificial neural networks for daily rainfall-runoff modelling. Hydrol. Sci. J., 47: 865-877.
Direct Link  |  

Sen, Z. and A. Altunkaynak, 2006. A comparative fuzzy logic approach to runoff coefficient and runoff estimation. Hydrol. Processes, 20: 1993-2009.
CrossRef  |  Direct Link  |  

Shamseldin, A.Y., 1997. Application of a neural network technique to rainfall-runoff modelling. J. Hydrol., 199: 272-294.
CrossRef  |  Direct Link  |  

Tayfur, G. and V.P. Singh, 2006. ANN and fuzzy logic models for simulating event-based rainfall-runoff. J. Hydrol. Eng., 132: 1321-1330.
Direct Link  |  

Tokar, A.S. and M. Markus, 2000. Precipitation-runoff modeling using artificial neural networks and concettual models. J. Hydrol. Eng., 5: 156-161.
Direct Link  |  

Xiong, L., A. Shamseldin and K. Ο’ Connor, 2001. A non-linear combination of the forecasts of rainfall-runoff models by the first-order Takagi-Sugeno fuzzy system. J. Hydrol., 245: 196-217.
CrossRef  |  Direct Link  |  

Zadeh, L.A., 1965. Fuzzy sets. Inform. Control, 8: 338-353.
CrossRef  |  Direct Link  |