基于DEA的ABC分类:学生福利基金会视角下的伊朗大学分类

M. Khodabakhshi, M. Rezaee, K. Aryavash
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引用次数: 3

摘要

本文的动机是利用数据包络分析技术的乐观-悲观方法将一组决策单元(dmu)分为a、B、C三类。为此,在假设dmu的分数之和等于1的情况下,估计dmu的最小和最大可能的效率分数。然后,所有dmu排名两次。首先,根据他们的最低分数排名,然后根据他们的最高分数排名。最后,根据每个DMU在两个排名中的排名确定其类别。我们将提出的方法应用于伊朗大学学生福利基金的分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ABC classification using DEA: classification of Iranian universities from students welfare foundation viewpoint
The motivation of this paper is to classify a set of decision making units (DMUs) into three classes A, B, and C using an optimistic-pessimistic approach of data envelopment analysis technique. To this end, the minimum and maximum possible efficiency scores of DMUs are estimated under the assumption that the sum of their scores equals to unity. Then, all DMUs are ranked two times. First, they are ranked according to their minimum scores, and then according to their maximum scores. Finally, the class of each DMU is ascertained according to its ranks in two rankings. We apply the proposed method for classifying the welfare funds of students for the universities in Iran.
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