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A fuzzy evaluation approach with the quasi-ordered set: evaluating the efficiency of decision making units

机译:一种模糊评价方法,具有准订购集的方法:评估决策单位效率

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摘要

This work proposes an inequality approach with the quasi-ordered set to evaluate the performances of decision making units (DMUs). In real world applications, input and output data are often imprecise and fluctuated. In this case, a fuzzy inequality approach is proposed to evaluate DMUs with fuzzy data. Fuzzy inequalities consist of fuzzy expressions of the production possibility set and the line segment joining the origin to the evaluated DMU. Moreover, under constant returns to scale, the production possibility set is spanned by all the DMUs without the evaluated DMU. Fuzzy efficiency is dependent upon whether the solution set of fuzzy inequalities is empty or not. The quasi-ordered set is used to distinguish the fuzzy efficiency. Finally, numerical examples are used to illustrate the approach.
机译:这项工作提出了对准有序集的不等式方法,以评估决策单位(DMUS)的性能。 在现实世界应用中,输入和输出数据通常是不精确和波动的。 在这种情况下,提出了一种模糊不等式方法来评估模糊数据的DMU。 模糊不等式由生产可能性设定的模糊表达和将原点加入评估的DMU的线段。 此外,在恒定返回到比例下,在没有评估的DMU的情况下,通过所有DMU跨越生产可能性。 模糊效率取决于溶液集模糊不平等是否为空。 准订购的集合用于区分模糊效率。 最后,使用数值例子来说明方法。

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