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A Fuzzy Multicriteria Categorization of Water Scarcity in Complex Water Resources Systems

机译:复杂水资源系统缺水的模糊多准则分类。

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Although water scarcity is a well-understood concept, it is difficult to define it precisely and furthermore, to address the water scarcity which requires a complicated set of water actions. In this work, with the aim to face the complexity of water scarcity, we propose the establishment of several categories in order to characterize the water scarcity. These categories are guided by the corresponding roadmap so as to address the water scarcity. Consequently, the considered categories are used to characterize the scarcity are non-ordered. The methodology is based on a developed fuzzy multi-criteria filtering approach. The Water Demand Satisfaction, Water Reliability, Management Effectiveness and Water Sustainability, are selected as criteria. Each category is characterized by reference to a fictitious alternative, the prototype. Τhe water scarcity categorization process is based on the fuzzy binary comparison between the water scarcity evaluation of the criteria in the watersheds and the prototype of each category. This binary comparison over all criteria consists of the concordance and non-discordance principle. The use of fuzzy analysis enables us to express the grey region of the monocriterion comparison between the basins and the prototypes and furthermore, to achieve a suitable aggregation of the achieved monocriterion comparison between the basins and the prototypes. Eventually, the use of the veto thresholds and discordance indices of the fuzzy aggregation allowing compensation, are to be avoided when criteria are strongly conflicting, which is a very useful property in classification problems. The described methodology was applied to the Ebro river basin, identifying the existing problems.
机译:尽管缺水是一个容易理解的概念,但是要准确定义缺水是很难解决的,因为缺水需要一系列复杂的水动作。在这项工作中,为了面对水资源短缺的复杂性,我们建议建立几个类别以表征水资源短缺。这些类别以相应的路线图为指导,以解决缺水问题。因此,所考虑的类别用于表征稀缺性是无序的。该方法基于已开发的模糊多准则过滤方法。选择水需求满意度,水可靠性,管理有效性和水可持续性作为标准。每个类别的特征都是通过引用虚拟替代方案(即原型)来进行的。水资源短缺分类过程是基于对流域标准的水资源短缺评估与每个类别的原型之间的模糊二进制比较。所有标准的二元比较由一致性和非不一致原理组成。模糊分析的使用使我们能够表达盆地和原型之间的单标准比较的灰色区域,此外,还可以实现盆地和原型之间的单标准比较的适当汇总。最终,当准则严重冲突时,应避免使用否决阈值和模糊聚合的不一致指数(允许补偿),这在分类问题中非常有用。所描述的方法已应用于埃布罗河流域,确定了存在的问题。

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