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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Autori principali:	Murphy Bonkogia Lomboli, Opeyeolu Timothy Laseinde
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Springer 2026-05-01
Serie:	Discover Water
Soggetti:	Water resource management Multi-criteria decision-making Machine learning Decision support systems Systematic literature review Explainable artificial intelligence
Accesso online:	https://doi.org/10.1007/s43832-026-00400-8
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