Influence of Deleting Some of the Inputs and Outputs on Stability Return to Scale in DEA

被引：0

作者：

Hajihosseini, Alireza ^{[1
]}

Noura, Abbasali ^{[1
]}

Lotfi, Farhad Hosseinzadeh ^{[1
]}

机构：

[1] Islamic Azad Univ, Kerman Branch, Dept Math, Kerman, Iran

来源：

MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES | 2014年 / 8卷

关键词：

DEA; sensitivity and stability; return to scale and optimization;

D O I：

暂无

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

Data envelopment analysis (DEA) is a nonparametric method for determining the relative efficiency of homogeneous decision making units (DMU) which consist of multiple inputs and outputs. One of the most important issues in DEA is sensitivity analysis and stability of return to scale (RTS) with changing the inputs and outputs. Deleting one or multiple inputs or outputs in DEA can change the efficiency and RTS of some DMUs which is shown by an example. In this paper our aim is to investigate the impact of deleting one or multiple inputs and (or) outputs on RTS and efficiency of DMUs. To this end some models is presented and they are utilized through two examples.

引用

页码：25 / 36

页数：12

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