DEA models with undesirable inputs and outputs
DEA models with undesirable inputs and outputs
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具有不良输入和输出的 DEA 模型
DOI：
10.1007/s10479-009-0587-3
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发表时间：
2010-01-01
影响因子：
4.8
通讯作者：
Zhang, D. Q.
中科院分区：
文献类型：
--
作者：
Liu, W. B.;Meng, W.;Zhang, D. Q.
具有非期望输入和输出的数据包络分析（DEA）模型在DEA文献中经常被讨论，例如，通过数据转换。这些研究分散在文献中，往往局限于某些特定的应用。本文系统地研究了不传递不良数据的DEA模型的建立。我们首先描述了一次性的假设和一些不同的性能指标存在不良的输入和输出，然后讨论不同的组合的一次性的假设和指标。这种方法导致一个统一的介绍了几个类的DEA模型与不良的输入和/或输出。
Data Envelopment Analysis (DEA) models with undesirable inputs and outputs have been frequently discussed in DEA literature, e.g., via data transformation. These studies were scatted in the literature, and often confined to some particular applications. In this paper we present a systematic investigation on model building of DEA without transferring undesirable data. We first describe the disposability assumptions and a number of different performance measures in the presence of undesirable inputs and outputs, and then discuss different combinations of the disposability assumptions and the metrics. This approach leads to a unified presentation of several classes of DEA models with undesirable inputs and/or outputs.