Dealing with interval scale data in data envelopment analysis

This paper considers the problem of interval scale data in the most widely used models of data envelopment analysis (DEA), the CCR and BCC models. Radial models require inputs and outputs measured on the ratio scale. Our focus is on how to deal with interval scale variables especially when the inter...

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Bibliographic Details
Published in:European journal of operational research 2002-02, Vol.137 (1), p.22-27
Main Authors: Halme, Merja, Joro, Tarja, Koivu, Matti
Format: Article
Language:English
Subjects:
Data envelopment analysis
Efficiency
Efficiency analysis
Interval scale variables
Negative variables
Operations research
Variables
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Summary:This paper considers the problem of interval scale data in the most widely used models of data envelopment analysis (DEA), the CCR and BCC models. Radial models require inputs and outputs measured on the ratio scale. Our focus is on how to deal with interval scale variables especially when the interval scale variable is a difference of two ratio scale variables like profit or the decrease/increase in bank accounts. We suggest the use of these ratio scale variables in a radial DEA model.
ISSN:0377-2217
1872-6860
DOI:10.1016/S0377-2217(01)00090-X