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Journal of Applied Sciences
  Year: 2008 | Volume: 8 | Issue: 16 | Page No.: 2851-2858
DOI: 10.3923/jas.2008.2851.2858
 
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Rainfall-Runoff Modeling Using Fuzzy Methodology

M. Noury, H.R. Khatami, M.T. Moeti and G. Barani

Abstract:
The present study investigates an illustrative evaluation of the performance of some new approaches including fuzzy rule-based modeling and fuzzy regressions analysis in rainfall-runoff modeling which is a well-known and challenging problem in hydraulic engineering. On the basis of the results obtained for Halil Rud River, central Iran, it can be suggested that the fuzzy methodology is efficiently capable of handling highly scattered data. The developed fuzzy rule-based model shows flexibility and ability in modeling an ill-defined relationship between input and output variables. The two fuzzy regression models developed seem to be more informative and illuminative.
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How to cite this article:

M. Noury, H.R. Khatami, M.T. Moeti and G. Barani, 2008. Rainfall-Runoff Modeling Using Fuzzy Methodology. Journal of Applied Sciences, 8: 2851-2858.

DOI: 10.3923/jas.2008.2851.2858

URL: https://scialert.net/abstract/?doi=jas.2008.2851.2858

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