An additive model approach for estimating returns to scale in imprecise data envelopment analysis

M. Khodabakhshi; Y. Gholami; H. Kheirollahi

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An additive model approach for estimating returns to scale in imprecise data envelopment analysis

机译：在不精确数据包络分析中估算规模收益的加法模型方法

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摘要

In this paper, additive model is used to provide an alternative approach for estimating returns to scale in data envelopment analysis. The proposed model is developed in both stochastic and fuzzy data envelopment analysis. Deterministic (crisp) equivalents are obtained which correspond to the stochastic and fuzzy models. Numerical examples are, also, used to illustrate the proposed approaches.

机译：在本文中，加性模型用于提供一种替代方法，用于估算数据包络分析中的规模收益。所提出的模型是在随机和模糊数据包络分析中开发的。获得与随机和模糊模型相对应的确定性（脆性）等价物。数值示例也用于说明所提出的方法。

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来源
《Applied Mathematical Modelling》 |2010年第5期|1247-1257|共11页
作者
M. Khodabakhshi; Y. Gholami; H. Kheirollahi;
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作者单位

Department of Mathematics, Faculty of Science, Lorestan University, Khorram Abad, Iran;

Department of Mathematics, Faculty of Science, Lorestan University, Khorram Abad, Iran;

Department of Mathematics, Islamic Azad University, Sanandaj, Iran;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
returns to scale; chance constraints; stochastic DEA; possibility approach; fuzzy DEA;

机译：返回规模;机会约束;随机DEA可能性方法;模糊DEA;

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An additive model approach for estimating returns to scale in imprecise data envelopment analysis

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