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A fuzzy chance constraint multi objective programming method in data envelopment analysis

机译:数据包络分析中的模糊机会约束多目标规划方法

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摘要

In recent years, fuzzy set theory has been used as a way to quantify imprecise and vague data in data?envelopment analysis models. In this study, we will attempt to approximate the relative efficiency by an?imprecise value and increase the power of discrimination between efficient units. For this reason, we?propose a chance constraint multi objective programming. Subsequently, a linear programming method?will be proposed by goal programming technic. It approximates the relative efficiency ratio by a?triangular fuzzy variable. Finally, the proposed method is applied on a real example of Iranian electricity?distribution companies in the years 2000 to 2004. It able to ranks all 38 companies completely.
机译:近年来,模糊集理论已被用作量化数据包络分析模型中不精确和模糊数据的一种方法。在这项研究中,我们将尝试通过一个不精确的值来近似相对效率,并增加区分有效单位的能力。因此,我们提出了机会约束多目标规划。随后,目标编程技术将提出一种线性规划方法。它通过三角模糊变量来近似相对效率比。最后,该方法被应用于2000年至2004年伊朗配电公司的一个真实例子。它能够对所有38家公司进行完全排名。

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