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• W3153376649 abstract "Evaluating localized impacts of water allocation scenarios (WASs) is an important multi-attribute water decision problem. The impacts of WASs are not the same across a basin, and may have their own spatial variations. Conventional multi-attribute decision-making (MADM) is not capable of capturing and implementing the spatial variations. Using these methods often results in simplification or even oversimplification. Herein a new framework is developed involving a compromise programming approach (CP), fuzzy analytical hierarchy process (FAHP) and distributed indicators. The framework is applied to the Aras basin, Iran. Adaptation of the proposed framework leads to an evaluation of WASs based on their integrated localized impacts and spatial trade-offs. Results show that using lumped indicators rather than distributed indicators imposes significant uncertainties in the evaluation process. Applying CP, distributed indicators and fuzzy weights simultaneously extended the interval with stable ranking and allowed the determination of regional overall priorities and optimal spatial water allocation." @default.
• W3153376649 created "2021-04-26" @default.
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• W3153376649 date "2021-06-11" @default.
• W3153376649 modified "2023-09-29" @default.
• W3153376649 title "Adaptation of a compromise programming approach for evaluating the localized impacts of water allocation" @default.
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• W3153376649 doi "https://doi.org/10.1080/02626667.2021.1912755" @default.
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