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Performance evaluation and ranking of electricity companies using fuzzy network data envelopment analysis: a case study of Iranian regional electricity organisations

机译:采用模糊网络数据包络分析的绩效评估与电力公司排名 - 以伊朗区域电力组织为例

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摘要

Data envelopment analysis (DEA) is one of the most appropriate methods for a data-oriented approach to evaluate the performance of a set of entities called decision making units (DMUs). This study aims at evaluating the efficiency of Iranian regional power companies using data envelopment analysis (DEA), under the uncertainty conditions in the fuzzy necessity scheme. In this study, we determine the total efficiency as well as the efficiency of each stage including the production, transmission and distribution using fuzzy network DEA (FNDEA). Since the Iranian power industries have a network structure, the network DEA process has been used for evaluating the efficiency of the processes of companies. Sixteen Iranian regional power companies were selected and analysed based on the performance of the production, transferring, and distribution.
机译:数据包络分析(DEA)是数据导向方法的最合适的方法之一,以评估一种称为决策单元(DMUS)的一组实体的性能的方法之一。本研究旨在评估利用数据包络分析(DEA)的伊朗地区电力公司的效率,在模糊必要性方案的不确定性条件下。在这项研究中,我们确定总效率以及使用模糊网络DEA(FNDEA)的生产,传输和分布的每个阶段的效率。由于伊朗电力行业具有网络结构,网络DEA过程已被用于评估公司流程的效率。根据生产,转移和分配的表现,选择并分析了十六家伊朗区域电力公司。

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