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Journal ArticleDOI

Output–input ratio analysis and DEA frontier

TLDR
It is shown that top-ranked performance by ratio analysis is a DEA frontier point, which allows identification of membership of frontier DMUs without solving a DEA program.
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This article is published in European Journal of Operational Research.The article was published on 2002-11-01. It has received 63 citations till now. The article focuses on the topics: Data envelopment analysis.

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Citations
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Journal ArticleDOI

Performance evaluation of participating nations at the 2012 London Summer Olympics by a two-stage data envelopment analysis

TL;DR: The efficiency of each participating nation in the entire two-stage Olympic process is calculated as a product of the efficiencies of both stages, and a heuristic search is applied to the extended relational model.
Journal ArticleDOI

A robust nonparametric approach to the analysis of scientific productivity

TL;DR: Nonparametric envelopment techniques were used, and robust nonparametric techniques were applied in this work for the first time for evaluating scientific productivity, and they are shown to be useful tools to compute scientific productivity indicators and make institutional comparative analyses.
Journal ArticleDOI

An effective total ranking model for a ranked voting system

TL;DR: An effective model to rank candidates in a preferential election is proposed that is an extension and simplified form of a recently proposed model for ranking efficient candidates and can be used for ranking inefficient as well as efficient candidates.
Journal ArticleDOI

Using the DEA-R model in the hospital industry to study the pseudo-inefficiency problem

TL;DR: This study puts forward the DEA-R-I as a capable substitutive model for CCR-I in order to avoid pseudo-inefficiency and proved that it is a valid model.
Journal ArticleDOI

Cost and revenue efficiency in DEA-R models

TL;DR: This paper aims to create models for the estimation of cost and revenue efficiency, with particular attention being paid to ratio DEA (DEA-R) models, which eliminates some of the disadvantages associated with standard DEA models.
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.
Book

"Data Envelopment Analysis: Theory, Methodology, and Applications"

TL;DR: In this article, the authors present DEA Software Packages for the U.S. Airline Industry and present a Spatial Efficiency Framework for the Support of Locational Decision (SELF).
Journal ArticleDOI

Components of efficiency evaluation in data envelopment analysis

TL;DR: In this paper, the authors examine three essential components which comprise efficiency evaluation in data envelopment analysis and determine the implicit evaluation scheme associated with the model and provide a framework for classifying the various DEA models with respect to (i) the form of envelopment surface, (ii) the orientation, and (iii) the pricing mechanism implicit in the multiplier lower bounds.
Journal ArticleDOI

Streamlined computation for data envelopment analysis

TL;DR: Computational testing with real-world data sets with up to 533 decision making units indicates that employing constructs that facilitate efficiency of computation in solving a sequence of as many linear programs as there are decisionMaking units reduces computation time significantly.
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