2012
DOI: 10.1057/jors.2011.15
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Value-based DEA models: application-driven developments

Abstract: Data Envelopment Analysis (DEA) is an approach based on linear programming to assess the relative efficiency of peer Decision Making Units (DMUs). Typically, each DMU is free to choose the weights of the factors used in its evaluation.However, the evaluator's preferences may not warrant so much freedom. Several approaches have been proposed to allow the incorporation of managerial preferences in DEA, but few address the Additive DEA model specifically. This paper presents additive DEA models that use Multi-Cri… Show more

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Cited by 26 publications
(17 citation statements)
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References 34 publications
(43 reference statements)
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“…Value functions could also be obtained from the DMs' preferences and this may lead to piecewise and nonlinear value functions (see, for instance, Almeida and Dias 2012;Gouveia et al 2015Gouveia et al , 2016and Gouveia and Clímaco 2018).…”
Section: Value-based Dea Resultsmentioning
confidence: 99%
“…Value functions could also be obtained from the DMs' preferences and this may lead to piecewise and nonlinear value functions (see, for instance, Almeida and Dias 2012;Gouveia et al 2015Gouveia et al , 2016and Gouveia and Clímaco 2018).…”
Section: Value-based Dea Resultsmentioning
confidence: 99%
“…For example, MCDA methods can be used to find non-radial targets for the DMUs (Korhonen and Syrjänen, 2004) and to incorporate decision makers' preferences into DEA (e.g. Halme et al, 1999;Gouveia et al, 2008;Almeida and Dias, 2012). On the other hand, when information regarding the decision makers' preferences is limited or ambiguous, DEA can provide necessary information to allow multicriteria analyses to be performed (e.g.…”
Section: -Mixing or Methods To Enhance The Performance Measurement Prmentioning
confidence: 99%
“…Therefore, a formulation that yields an alternative target that maintains or improves the performance of all factors can be obtained by solving the LP model (4) in which the maximum slack (in terms of value) shall be minimized to achieve the global utility value target. No negative slacks are allowed, but the target will no longer be a convex combination of the observed DMUs (for details see [33]). …”
Section: Improvements Of Inefficient Units and Further Developmentsmentioning
confidence: 99%
“…The formulation below differs from the one used by Almeida and Dias [33] in that it introduces a new parameter σ c (a positive value) for each factor to bound the value that a slack may have. The aim is to avoid setting unrealistic targets, allowing the proposals to be better tailored to the GDM's requirements.…”
Section: Improvements Of Inefficient Units and Further Developmentsmentioning
confidence: 99%
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