A structured review and critical synthesis of multi-criteria decision-making models integrated with machine learning for water resource management

Abstract Water resource management (WRM) is increasingly shaped by interconnected environmental, technical, social, and institutional pressures that make single-method analysis insufficient for robust decision support. The study follows a structured review methodology with systematic search and scre...

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Bibliografische gegevens

Hoofdauteurs:	Murphy Bonkogia Lomboli, Opeyeolu Timothy Laseinde
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Springer 2026-05-01
Reeks:	Discover Water
Onderwerpen:	Water resource management Multi-criteria decision-making Machine learning Decision support systems Systematic literature review Explainable artificial intelligence
Online toegang:	https://doi.org/10.1007/s43832-026-00400-8
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