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

机译:大城市地区水资源分配与再利用的模糊多利益相关方多准则方法

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In this paper, a fuzzy decision making methodology is proposed to find a socially optimal scenario for allocating effluent of wastewater treatment plants and urban and suburban runoffs to agricultural regions and recharging aquifers. The presented methodology named modified fuzzy social choice (MFSC) considers multi-stakeholder multi-criteria problems under uncertainties inherent in a decision making process utilizing a fuzzy ranking method and the fuzzy social choice (FSC) theory. A set of water and wastewater allocation scenarios are proposed for water quantity and quality management of the study area, while six main stakeholders with conflicting utilities and different negotiation powers are involved. The proposed methodology is applied to Tehran metropolitan area, the capital city of Iran with the population of about 8 million people, to examine its applicability and effectiveness. The results shows that using fuzzy multi-stakeholder multi-criteria decision making method considering equal and different negotiation powers can lead to different outcomes. Based on the results, the MFSC method, which considers a number of decision makers having different negotiation powers, degrees of importance of decision making criteria, and some important uncertainties, performs more promising in real water resources management problems.
机译:在本文中,提出了一种模糊决策方法,以找到一种社会最优方案,用于将废水处理厂和城市和郊区径流的废水分配到农业地区并给含水层补给。本文提出的方法叫做改进的模糊社会选择(MFSC),它利用模糊排序方法和模糊社会选择(FSC)理论在决策过程中固有的不确定性下考虑了多利益相关者多准则问题。为研究区的水量和水质管理提出了一套水和废水分配方案,其中涉及六个主要利益相关者,它们的公用事业有冲突且谈判权力不同。拟议的方法适用于人口约800万人的伊朗首都德黑兰市区,以检验其适用性和有效性。结果表明,采用模糊的多利益相关方多准则决策方法时,考虑平等的协商能力可以产生不同的结果。基于结果,MFSC方法考虑了许多具有不同谈判能力,决策标准的重要性程度以及一些重要不确定性的决策者,在实际的水资源管理问题中表现出更大的希望。

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