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Journal ArticleDOI

A procedure for ranking efficient units in data envelopment analysis

Per Andersen, +1 more
- 01 Oct 1993 - 
- Vol. 39, Iss: 10, pp 1261-1264
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TLDR
In this paper, a modified version of DEA based upon comparison of efficient DMUs relative to a reference technology spanned by all other units is developed, which provides a framework for ranking efficient units and facilitates comparison with rankings based on parametric methods.
Abstract
Data Envelopment Analysis DEA evaluates the relative efficiency of decision-making units DMUs but does not allow for a ranking of the efficient units themselves. A modified version of DEA based upon comparison of efficient DMUs relative to a reference technology spanned by all other units is developed. The procedure provides a framework for ranking efficient units and facilitates comparison with rankings based on parametric methods.

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Citations
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Suavização da Fronteira DEA: o Caso BCC Tridimensional

TL;DR: In this article, the authors proposed a solution using the geometric representation of DEA envelope model, which consists in changing the original frontier by another with continuous partial derivatives in every point and being as close as possible to the original one.
Journal ArticleDOI

Using two-stage DEA to measure managerial efficiency change of non-life insurance companies in Taiwan

TL;DR: In this paper, the authors used the two-stage Data Envelopment Analysis (DEA) and the Malmquist productivity index expressed by Fare et al. (1992) to measure the efficiency change of 17 non-life insurance companies in Taiwan.
Journal ArticleDOI

Sustainability performance of countries matters: A non-parametric index

TL;DR: In this article, a non-parametric frontier model was developed to evaluate the sustainability performance of countries through a sustainability-conscious lens, and a super-efficiency formulation was investigated to differentiate between equally efficient entities.
Journal ArticleDOI

A Novel Feature Selection Method based on an Integrated Data Envelopment Analysis and Entropy Model

TL;DR: This paper uses both Data Envelopment Analysis which is a useful technique for determining the efficiency of decision-making units and Entropy method which its function is weighting the criteria to selecting the appropriate features for feature selection.
Journal ArticleDOI

A New Approach for Ranking Efficient Units in Data Envelopment Analysis and Application to a Sample of Vietnamese Agricultural Bank Branches

TL;DR: The new approach based on slacks-based measure of efficiency (SBM) for dealing with objective function used to classify all of the decision-making units allows the ranking of all inefficient DMUs and overcomes the disadvantages of infeasibility.
References
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Journal ArticleDOI

Measuring the efficiency of decision making units

TL;DR: A nonlinear (nonconvex) programming model provides a new definition of efficiency for use in evaluating activities of not-for-profit entities participating in public programs and methods for objectively determining weights by reference to the observational data for the multiple outputs and multiple inputs that characterize such programs.
Journal ArticleDOI

Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis

TL;DR: The CCR ratio form introduced by Charnes, Cooper and Rhodes, as part of their Data Envelopment Analysis approach, comprehends both technical and scale inefficiencies via the optimal value of the ratio form, as obtained directly from the data without requiring a priori specification of weights and/or explicit delineation of assumed functional forms of relations between inputs and outputs as mentioned in this paper.
Journal ArticleDOI

Measuring the technical efficiency of production

TL;DR: The purpose of this paper is to specify a set of properties such an efficiency measure should satisfy, to show that the widely used measure proposed by Farrell does not satisfy them, and to introduce a new measure that does satisfy these properties.
Journal ArticleDOI

Polyhedral Cone-Ratio DEA Models with an illustrative application to large commercial banks

TL;DR: Polyhedral Cone-Ratio Data Envelopment Analysis Models generalizing the CCR Ratio Model are developed for situations with a finite number of DMUs and employing polyhedral cones of virtual multipliers as discussed by the authors.
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