Estimation of Streamflow Using Takagi-Sugeno Fuzzy Rule-Based Model

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2018-06-01

Author

Akgün, Ömer Burak
Kentel Erdoğan, Elçin

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In this study, a tool is developed to estimate streamflow at Guvenc Basin, Ankara by using Takagi-Sugeno (TS) Fuzzy Rule-Based (RB) model. The model takes precipitation and runoff at time � as predictor (input) and estimates the runoff at time � + 1. The approach used to generate the TS RB model is based on density based clustering. Each cluster center is used to generate a fuzzy rule that represents the system behaviour. Satisfactory results are obtained especially after including the seasonal behaviour of streamflow time series into the model.

Subject Keywords

Clustering, Takagi-Sugeno Fuzzy Rule-Based model, Streamflow estimation

URI

https://hdl.handle.net/11511/36752

DOI

https://doi.org/10.29007/vzsj

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Department of Civil Engineering, Conference / Seminar

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Citation Formats

Ö. B. Akgün and E. Kentel Erdoğan, “Estimation of Streamflow Using Takagi-Sugeno Fuzzy Rule-Based Model,” 2018, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/36752.