Optimizing the management of multiple water resources in irrigation area under uncertainty: A novel scenario-based multi-objective fuzzy-credibility constrained programming model

•A novel SMOFCP approach is proposed to optimize the WRMS under uncertainty.•The SMOFCP-RWMS model can address fuzzy parameters in both objective and constraint.•The integration of NSGA-III and CP methods resolves a multi-objective problem.•The SMOFCP-RWMS model balances economic benefits, water sca...

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Vydané v:	Journal of hydrology (Amsterdam) Ročník 640; s. 131633
Hlavní autori:	Yang, Ruifeng, He, Liuyue, Zhu, Dajiong, Zuo, Qiting, Yu, Lei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.08.2024
Predmet:	acceptable risk algorithms decision making Fuzzy credibility-constrained programming hydrology income irrigation management systems Multi-objective pollutants pollution social welfare socioeconomics stakeholders sustainable development Uncertainty water management Water pollution Water resources management water shortages Yellow River Yellow River Fuzzy credibility-constrained programming Uncertainty Water pollution Water resources management Multi-objective
ISSN:	0022-1694
On-line prístup:	Získať plný text
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