Assessing water resources systems’ dynamic resilience under hazardous events via a genetic fuzzy rule-based system
Author:
Affiliation:
1. a Faculty of Science, University of Kragujevac, Kragujevac, Serbia
2. b Institute for Artificial Intelligence R&D Serbia, Novi Sad, Serbia
3. c Jaroslav Černi Water Institute, Belgrade, Serbia
Abstract
Funder
Science Fund of the Republic of Serbia
Publisher
IWA Publishing
Subject
Atmospheric Science,Geotechnical Engineering and Engineering Geology,Civil and Structural Engineering,Water Science and Technology
Link
https://iwaponline.com/jh/article-pdf/25/2/318/1258866/jh0250318.pdf
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3. Modeling monthly streamflow in mountainous basin by MARS, GMDH-NN and DENFIS using hydroclimatic data;Neural Computing and Applications,2021
4. Estimating reference evapotranspiration using hybrid adaptive fuzzy inferencing coupled with heuristic algorithms;Computers and Electronics in Agriculture,2021
5. Evaluating the resilience of water resources management scenarios using the evidential reasoning approach: the Zarrinehrud river basin experience;Journal of Environmental Management,2021
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