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A Method of Efficiency Analysis Based on Fuzzy Sample DEA Model

机译:一种基于模糊样本DEA模型的效率分析方法

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The data in traditional DEA model are limited to crisp inputs and outputs, which cannot be precisely obtained in many production processes or social activities. At the same time, the traditional DEA model can not evaluate by using some given reference units. This paper attempts to extend the traditional DEA model and establishes a fuzzy DEA model based on sample data evaluation. To establish this model, we provide the definition of the strong efficiency, general efficiency, (X - possibilistic fuzzy efficiency and weak efficiency of fuzzy sample C~2R model.
机译:传统DEA模型中的数据仅限于清晰的输入和输出,不能在许多生产过程或社交活动中精确获得。同时,传统的DEA模型无法使用一些给定的参考单位来评估。本文试图扩展传统的DEA模型,并根据样本数据评估建立模糊DEA模型。要建立该模型,我们提供了强大效率,一般效率的定义,(X - 可能的模糊效率和模糊样品C〜2R模型的弱效率。

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