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

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Bibliographic Details
Published in:Discover Water
Format: Online Article RSS Article
Published: 2026
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container_title Discover Water
description
discipline_display Hydrology
discipline_facet Hydrology
format Online Article
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genre Journal Article
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institution FRELIP
journal_source_facet Discover Water
publishDate 2026
publishDateSort 2026
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spellingShingle A structured review and critical synthesis of multi-criteria decision-making models integrated with machine learning for water resource management
Hydrology
General
Hydrology
sub_discipline_display General
sub_discipline_facet General
subject_display Hydrology
General
Hydrology
Hydrology
General
Hydrology
subject_facet Hydrology
General
Hydrology
title A structured review and critical synthesis of multi-criteria decision-making models integrated with machine learning for water resource management
title_auth A structured review and critical synthesis of multi-criteria decision-making models integrated with machine learning for water resource management
title_full A structured review and critical synthesis of multi-criteria decision-making models integrated with machine learning for water resource management
title_fullStr A structured review and critical synthesis of multi-criteria decision-making models integrated with machine learning for water resource management
title_full_unstemmed A structured review and critical synthesis of multi-criteria decision-making models integrated with machine learning for water resource management
title_short A structured review and critical synthesis of multi-criteria decision-making models integrated with machine learning for water resource management
title_sort a structured review and critical synthesis of multi-criteria decision-making models integrated with machine learning for water resource management
topic Hydrology
General
Hydrology
url https://link.springer.com/article/10.1007/s43832-026-00400-8