A fuzzy multi-stakeholder multi-criteria methodology for water allocation and reuse in metropolitan areas

Research article (Environmental Monitoring and Assessment, 2018) · cited 20× · AI/ML
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A fuzzy multi-stakeholder multi-criteria methodology for water allocation and reuse in metropolitan areas

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A fuzzy multi-stakeholder multi-criteria methodology for water allocation and reuse in metropolitan areas is a scholarly article[1].

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  • A fuzzy multi-stakeholder multi-criteria methodology for water allocation and reuse in metropolitan areas's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). A fuzzy multi-stakeholder multi-criteria methodology for water allocation and reuse in metropolitan areas. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-fuzzy-multi-stakeholder-multi-criteria-methodology-for-water-allocation-and-reuse-in-metropolitan-areas
MLA “A fuzzy multi-stakeholder multi-criteria methodology for water allocation and reuse in metropolitan areas.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-fuzzy-multi-stakeholder-multi-criteria-methodology-for-water-allocation-and-reuse-in-metropolitan-areas.
BibTeX @misc{4ortxyz_a-fuzzy-multi-stakeholder-multi-criteria-methodology-for-water-allocation-and-reuse-in-metropolitan-areas_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A fuzzy multi-stakeholder multi-criteria methodology for water allocation and reuse in metropolitan areas}}, year = {2026}, url = {https://4ort.xyz/entity/a-fuzzy-multi-stakeholder-multi-criteria-methodology-for-water-allocation-and-reuse-in-metropolitan-areas}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A fuzzy multi-stakeholder multi-criteria methodology for water allocation and reuse in metropolitan areas — https://4ort.xyz/entity/a-fuzzy-multi-stakeholder-multi-criteria-methodology-for-water-allocation-and-reuse-in-metropolitan-areas (retrieved 2026-05-24)

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