AN ENHAMCED RUSSELL MEASURE OF EFFICIENCY IN THE PRESENCE OF NON-DISCRETIONARY FACTORES IN DATA ENVELOPMENT ANALYSIS

被引：0

作者：

Ashrafi, Ali ^{[1
]}

Jaafar, Azmi B. ^{[2
]}

Lee, Lai Soon ^{[2
]}

机构：

[1] Univ Semnan, Fac Math Stat & Comp Sci, Semnan, Iran

[2] Univ Putra Malaysia, Inst Math Res, Upm Serdang 43400, Selangor, Malaysia

来源：

PROCEEDINGS OF THE ROMANIAN ACADEMY SERIES A-MATHEMATICS PHYSICS TECHNICAL SCIENCES INFORMATION SCIENCE | 2012年 / 13卷 / 02期

关键词：

data envelopment analysis; efficiency; enhanced Russell measure; non-discretionary factor; INPUTS; MODELS; SCALE;

D O I：

暂无

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Standard data envelopment analysis (DEA) models suppose that all inputs and outputs can be varied at the discretion of management of each decision making unit (DMU). In some situations, DMUs can have non-discretionary inputs or outputs that are beyond the control of decision maker, which also need to be considered. This paper proposes an enhanced Russell measure (ERM) model in the presence of non-discretionary factors. The new model is compared with the well-known radial DEA model proposed by Banker and Morey [5]. An empirical data set is used to illustrate the model.

引用

页码：91 / 96

页数：6

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