Cost efficiency measures in data envelopment analysis with data uncertainty

This paper extends the classical cost efficiency (CE) models to include data uncertainty. We believe that many research situations are best described by the intermediate case, where some uncertain input and output data are available. In such cases, the classical cost efficiency models cannot be used...

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Veröffentlicht in:European journal of operational research 2010-04, Vol.202 (2), p.595-603
Hauptverfasser: Mostafaee, A., Saljooghi, F.H.
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description This paper extends the classical cost efficiency (CE) models to include data uncertainty. We believe that many research situations are best described by the intermediate case, where some uncertain input and output data are available. In such cases, the classical cost efficiency models cannot be used, because input and output data appear in the form of ranges. When the data are imprecise in the form of ranges, the cost efficiency measure calculated from the data should be uncertain as well. So, in the current paper, we develop a method for the estimation of upper and lower bounds for the cost efficiency measure in situations of uncertain input and output data. Also, we develop the theory of efficiency measurement so as to accommodate incomplete price information by deriving upper and lower bounds for the cost efficiency measure. The practical application of these bounds is illustrated by a numerical example.
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subjects Cost efficiency
Data envelopment analysis
DEA
DEA Cost efficiency Uncertain data Range data Imprecise data Two-level mathematical programming Extreme point DMU
DMU
Efficiency
Estimating techniques
Exact sciences and technology
Extreme point
Imprecise data
Input output
Mathematics
Nonparametric inference
Probability and statistics
Range data
Sciences and techniques of general use
Statistics
Studies
Two-level mathematical programming
Uncertain data
Uncertainty
title Cost efficiency measures in data envelopment analysis with data uncertainty
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