Measuring overall profit efficiency with interval data

Mehdi Toloo; Nazila Aghayi; Mohsen Rostamy-malkhalifeh

doi:10.1016/j.amc.2007.12.061

Measuring overall profit efficiency with interval data

Mehdi Toloo^*, Nazila Aghayi, Mohsen Rostamy-malkhalifeh

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

29 Citations (Scopus)

Abstract

This paper presents a framework where data envelopment analysis (DEA) is used to measure overall profit efficiency with interval data. Specifically, it is shown that as the inputs, outputs and price vectors each vary in intervals, the DMUs cannot be easily evaluated. Thus, presenting a new method for computing the efficiency of DMUs with interval data, an interval will be defined for the efficiency score of each unit. As well as, all the DMUs are divided into three groups which are defined according to the interval obtained for the efficiency value of DMUs.

Original language	English
Pages (from-to)	640-649
Number of pages	10
Journal	Applied Mathematics and Computation
Volume	201
Issue number	1-2
DOIs	https://doi.org/10.1016/j.amc.2007.12.061
Publication status	Published - Jul 15 2008
Externally published	Yes

Keywords

Data envelopment analysis
Interval data
Overall profit efficiency

ASJC Scopus subject areas

Computational Mathematics
Applied Mathematics

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10.1016/j.amc.2007.12.061

Cite this

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AU - Aghayi, Nazila

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N2 - This paper presents a framework where data envelopment analysis (DEA) is used to measure overall profit efficiency with interval data. Specifically, it is shown that as the inputs, outputs and price vectors each vary in intervals, the DMUs cannot be easily evaluated. Thus, presenting a new method for computing the efficiency of DMUs with interval data, an interval will be defined for the efficiency score of each unit. As well as, all the DMUs are divided into three groups which are defined according to the interval obtained for the efficiency value of DMUs.

AB - This paper presents a framework where data envelopment analysis (DEA) is used to measure overall profit efficiency with interval data. Specifically, it is shown that as the inputs, outputs and price vectors each vary in intervals, the DMUs cannot be easily evaluated. Thus, presenting a new method for computing the efficiency of DMUs with interval data, an interval will be defined for the efficiency score of each unit. As well as, all the DMUs are divided into three groups which are defined according to the interval obtained for the efficiency value of DMUs.

KW - Data envelopment analysis

KW - Interval data

KW - Overall profit efficiency

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ER -

Measuring overall profit efficiency with interval data

Abstract

Keywords

ASJC Scopus subject areas

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