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A Sorting Model for Group Decision Making: A Case Study of Water Losses in Brazil

机译:群体决策的分类模型:以巴西的水损失为例

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Many water supply systems in Brazil have serious problems related to the high index of water losses, which provokes financial and environmental impacts. This is an immediate consequence of an inadequate maintenance plan, allied to natural and budgetary constraints. In addition, in these types of problems it is commonplace to consider the opinions of many managers, such as those from the operational, environmental and financial sectors of Water Companies. In view of this, a sorting multicriteria model to support group decision making is developed. We proposed an approach which sorts the areas of the system which are located in critical zones of water losses into categories, and which takes into account different points of view and considers uncertainty in criteria weights by using only ordinal information, so as to make it viable to manage the maintenance plan and to use the scant financial resources more efficiently. The SMAA-TRI method is used to tackle the group sorting problematic by categorizing the network into zones where losses are intense and thus to focus the managers' effort on the most critical regions. A case study in Brazil is presented to demonstrate the efficiency of the approach proposed.
机译:巴西的许多供水系统都存在着与高失水率有关的严重问题,这引起了财务和环境方面的影响。这是维护计划不足的直接结果,与自然和预算约束有关。此外,在这些类型的问题中,通常要考虑许多管理者的意见,例如水公司的运营,环境和金融部门的意见。有鉴于此,开发了一种支持团体决策的分类多准则模型。我们提出了一种方法,该方法将位于水损失关键区域的系统区域分类,并考虑不同的观点,并仅通过使用序数信息来考虑标准权重的不确定性,从而使其可行。管理维护计划并更有效地利用稀缺的财务资源。 SMAA-TRI方法用于通过将网络分类为损失严重的区域来解决有问题的组排序,从而将管理人员的工作重点放在最关键的区域。在巴西进行了案例研究,以证明所提出方法的有效性。

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