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A multiobjective data envelopment analysis model applied to the evaluation of Brazilian electrical distributors

机译:多目标数据包络分析模型用于评估巴西配电商

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This paper presents a methodology for evaluating efficiencies, using Multicriteria Data Envelopment Analysis (MCDEA) in previously established clusters, in order to guarantee homogeneous groups of analysis. Since some clusters formed have a small number of production units (DMUs - Decision Making Units), the MCDEA model was used to improve the discriminatory power of the method and to avoid that several DMUs are considered efficient, as well as to generate a better distribution of the weights of the inputs and outputs. Since multiobjective models can generate more than one solution, the MCDEA-TRIMAP Index will be used to unify the values for each DMU. In this paper, the Brazilian electricity sector will be used to apply the methodology and will be considered an input (operational cost) and two outputs (number of consumers and amount of energy consumed).
机译:本文介绍了一种在先前建立的集群中使用多标准数据包络分析(MCDEA)来评估效率的方法,以确保分析的同类组。由于形成的某些集群具有少量生产单元(DMU-决策制定单元),因此使用MCDEA模型来提高该方法的区分能力,并避免将多个DMU视为有效的,并产生更好的分布输入和输出的权重。由于多目标模型可以生成多个解决方案,因此将使用MCDEA-TRIMAP索引来统一每个DMU的值。在本文中,将使用巴西电力部门来应用该方法,并将其视为一个投入(运营成本)和两个产出(用户数量和能源消耗量)。

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