[HTML][HTML] A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016
In recent years there has been an exponential growth in the number of publications related
to theory and applications of Data Envelopment Analysis (DEA). Charnes, Cooper, and …
to theory and applications of Data Envelopment Analysis (DEA). Charnes, Cooper, and …
A review of ranking models in data envelopment analysis
In the course of improving various abilities of data envelopment analysis (DEA) models,
many investigations have been carried out for ranking decision‐making units (DMUs). This …
many investigations have been carried out for ranking decision‐making units (DMUs). This …
Do mid‐level providers enhance hospital cost per discharge or triple aim performance efficiency? An exploratory analysis
Hospital administrators are shifting care delivery models toward an approach that uses more
caregivers in the form of mid‐level providers (MLPs), such as nurse practitioners, physician …
caregivers in the form of mid‐level providers (MLPs), such as nurse practitioners, physician …
Eco-innovation in transportation industry: A double frontier common weights analysis with ideal point method for Malmquist productivity index
Transportation industry is one of the major contributors to the environmental pollution.
Analyzing efficiency of this industry helps people and societies to enhance their awareness …
Analyzing efficiency of this industry helps people and societies to enhance their awareness …
Slacks-based measures of efficiency in imprecise data envelopment analysis: An approach based on data envelopment analysis with double frontiers
Data envelopment analysis (DEA) is a mathematical approach for evaluating the efficiency
of decision-making units (DMUs) that convert multiple inputs into multiple outputs …
of decision-making units (DMUs) that convert multiple inputs into multiple outputs …
Improved DEA models for measuring interval efficiencies of decision-making units
In a recent paper by Wang and Yang (2007)[6], a pair of bounded data envelopment
analysis (DEA) models were proposed to measure the overall performances of a group of …
analysis (DEA) models were proposed to measure the overall performances of a group of …
Increasing discrimination of DEA evaluation by utilizing distances to anti-efficient frontiers
This paper develops three DEA performance indicators for the purpose of performance
ranking by using the distances to both the efficient frontier and the anti-efficient frontier to …
ranking by using the distances to both the efficient frontier and the anti-efficient frontier to …
Additive models for network data envelopment analysis in the presence of shared resources
This paper studies the problem of evaluating the relative efficiency of a set of specialized
and interdependent decision-making subunits that make up a large decision-making unit …
and interdependent decision-making subunits that make up a large decision-making unit …
DEA efficiency analysis: A DEA approach with double frontiers
H Azizi - International Journal of Systems Science, 2014 - Taylor & Francis
Data envelopment analysis (DEA) is a method for measuring efficiency of peer decision-
making units (DMUs). Conventional DEA evaluates the performance of each DMU using a …
making units (DMUs). Conventional DEA evaluates the performance of each DMU using a …
A study of develo** an input-oriented ratio-based comparative efficiency model
CK Wei, LC Chen, RK Li, CH Tsai - Expert systems with applications, 2011 - Elsevier
Data envelopment analysis (DEA) is a representative method to estimate efficient frontiers
and derive efficiency. However, in a situation with weight restrictions on individual input …
and derive efficiency. However, in a situation with weight restrictions on individual input …