A New Fuzzy Weighted Multivariate Regression to Predict Water Quality Index at Perak Rivers-Reference-Cited by-同舟云学术

A New Fuzzy Weighted Multivariate Regression to Predict Water Quality Index at Perak Rivers

Published:2020 Issue: Volume: Page:1-27
ISSN:
Container-title:Optimization Based Model Using Fuzzy and Other Statistical Techniques Towards Environmental Sustainability
language:
Short-container-title:

Author:

Yasin Muhammad Irfan,Karim Samsul Ariffin Abdul

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-2655-8_1

Reference18 articles.

1. L. Abdullah, N. Zakaria, Matrix driven multivariate fuzzy linear regression model in car sales. J. Appl. Sci. 12, 56–63 (2012)

2. ASMA.: River Water Quality Monitoring (2012). http://www.doe.gov.my/portalv1/en/general-info/pemantauan-kualiti-air-sungai/280 retrieved from 13 May 2019

3. A.A.A. Bakar, A.M. Pauzi, A.A. Mohamed, S.S. Sharifuddin, F.M. Idris, Preliminary analysis on the water quality index (WQI) of irradiated basic filter elements, in IOP Conference Series: Material Science and Engineering, vol. 298, 012005 (2018)

4. L.W. Canter, Environmental Impact of Water Resources Projects (Lewis Publishers, Inc. Chelsea, 1985)

5. P.T. Chang, E.S. Lee, A generalized fuzzy weighted least-squares regression. Fuzzy Sets Syst. 82, 289–298 (1996)

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. HANA: A Performance-Based Machine Learning and Neural Network Approach for Climate Resilient Agriculture;Journal of Nanomaterials;2022-07-15

2. Soft computing technique-based prediction of water quality index;Water Supply;2021-06-01

3. Water quality assessment of a river using deep learning Bi-LSTM methodology: forecasting and validation;Environmental Science and Pollution Research;2021-05-14

4. Evolutionary computational intelligence algorithm coupled with self-tuning predictive model for water quality index determination;Journal of Hydrology;2020-08

5. Implementation of data intelligence models coupled with ensemble machine learning for prediction of water quality index;Environmental Science and Pollution Research;2020-07-20