Rainfall Prediction Model Improvement by Fuzzy Set Theory

Journal of Water Resource and Protection

ISSN Print: 1945-3094
ISSN Online: 1945-3108
www.scirp.net/Journal/jwarp
E-mail: [email protected]

Citations

"Rainfall Prediction Model Improvement by Fuzzy Set Theory"
written by Mahbub Hasan, Xingzhong (Frank) Shi, Teferi Tsegaye, Nesar U. Ahmed, Salam Md. Mahbubush Khan,
published by Journal of Water Resource and Protection, Vol.5 No.1, 2013

has been cited by the following article(s):

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[3]	Rain prediction using fuzzy rule based system in North-West Malaysia
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[4]	A Study on Rainfall Calibration and Estimation at the Northern Part of Bangladesh by Using Mamdani Fuzzy Inference System
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[5]	Adaptive Neuro-Fuzzy Inference System implementation for farmer's term of trade forecasting in West Sumatra
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[6]	Rainfall Prediction for Tay Ninh Province Using Fuzzy Logic
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[7]	Kombinasi Logika Fuzzy dan Jaringan Syaraf Tiruan untuk Prakiraan Curah Hujan Timeseries di Area Puspo–Jawa Timur
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[8]	Extracting fuzzy rules and parameters using particle swarm optimization for rainfall forecasting
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[9]	Rough-set belief rule model using multinomial subjective logic
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[10]	An Use of Fuzzy Logic for Development and Analysis of Rainfall–Runoff Model
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[11]	Rough‐set belief rule model using multinomial subjective logic
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[12]	An Use of Fuzzy Logic for Development and Analysis of Rainfall-Runoff Model
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[1]	Fuzzy modeling of volumetric efficiency and specific energy consumption in agricultural screw conveyors Ciência Rural, 2020 DOI:10.1590/0103-8478cr20190764

[2]	Adaptive Neuro-Fuzzy Inference System implementation for farmer’s term of trade forecasting in West Sumatra IOP Conference Series: Earth and Environmental Science, 2019 DOI:10.1088/1755-1315/335/1/012010

[3]	Rough‐set belief rule model using multinomial subjective logic IET Science, Measurement & Technology, 2015 DOI:10.1049/iet-smt.2014.0015

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