Rainfall Prediction Model Improvement by Fuzzy Set Theory

Journals Menu

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Journal of Water Resource and Protection

ISSN Print: 1945-3094
ISSN Online: 1945-3108
www.scirp.org/Journal/jwarp
E-mail: jwarp@scirp.org

Google-based Impact Factor: 1.01
Citations h5-index & Ranking

Journals Menu

"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):

Google Scholar
CrossRef

[1]	Fuzzy modeling of volumetric efficiency and specific energy consumption in agricultural screw conveyors
	2020

[2]	Rain prediction using fuzzy rule based system in North-West Malaysia
	2019

[3]	A Study on Rainfall Calibration and Estimation at the Northern Part of Bangladesh by Using Mamdani Fuzzy Inference System
	2019

[4]	Adaptive Neuro-Fuzzy Inference System implementation for farmer's term of trade forecasting in West Sumatra
	2019

[5]	Kombinasi Logika Fuzzy dan Jaringan Syaraf Tiruan untuk Prakiraan Curah Hujan Timeseries di Area Puspo–Jawa Timur
	2017

[6]	Extracting fuzzy rules and parameters using particle swarm optimization for rainfall forecasting
	2017

[7]	Rough-set belief rule model using multinomial subjective logic
	IET Science, Measurement & Technology, 2015

[8]	An Use of Fuzzy Logic for Development and Analysis of Rainfall–Runoff Model
	2015

[9]	Rough‐set belief rule model using multinomial subjective logic
	IET Science, Measurement & …, 2015

[10]	Rainfall Prediction for Tay Ninh Province Using Fuzzy Logic

[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

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Journal of Water Resource and Protection

Journal of Water Resource and Protection

Journals Menu

Home

About SCIRP

Service

Policies