Evaluating Groups of Decision Making Units in the Data Envelopment Analysis based on Cooperative Games

IF 0.4 Q4 MATHEMATICS
S. Rahmati, R. Fallahnejad
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引用次数: 0

Abstract

Data Envelopment Analysis(DEA) is a non-parametric method for evaluating the efficiency of those Decision Making Units (DMUs) that have the same functionality and use multiple inputs to generate multiple outputs‎. ‎DMUs may sometimes be divided into several groups according to a series of criteria‎, ‎and it is intended to evaluate a group of similar DMUs‎. ‎In this paper‎, ‎each group was considered as a player in a cooperative game and a subset of groups was considered as a coalition‎. ‎Assuming the Production Possibility Set is made up of the members of the coalition‎, ‎a characteristic function was defined in terms of the sum of the efficiency of all units to determine the marginal effect of each group in different coalitions‎. ‎The groups were then evaluated using the Shapley Value as a solution of the cooperative game‎. ‎Some Examples were provided to describe and apply the method‎.
基于合作博弈的数据包络分析中决策单元群的评价
数据包络分析(DEA)是一种非参数方法,用于评估具有相同功能并使用多个输入产生多个输出的决策单元(dmu)的效率。dmu有时可根据一系列标准分成若干组,目的是评估一组相似的dmu。在本文中,每个组被认为是合作博弈中的一个参与者,组的子集被认为是一个联盟。假设生产可能性集由联盟的成员组成,定义了一个特征函数,根据所有单位的效率总和来确定不同联盟中每个组的边际效应。然后使用Shapley值作为合作博弈的解决方案对这些组进行评估。给出了一些例子来描述和应用该方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
自引率
0.00%
发文量
68
审稿时长
24 weeks
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