Data envelopment analysis 1978–2010: A citation-based literature survey
This study surveys the data envelopment analysis (DEA) literature by applying a citation-
based approach. The main goals are to find a set of papers playing the central role in DEA …
based approach. The main goals are to find a set of papers playing the central role in DEA …
Review of efficiency ranking methods in data envelopment analysis
A Aldamak, S Zolfaghari - Measurement, 2017 - Elsevier
This paper reviews the literature on the ranking of data envelopment analysis (DEA) in order
to increase the discrimination power of this analytical technique. The methods covered by …
to increase the discrimination power of this analytical technique. The methods covered by …
[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 …
Measuring environmental sustainability performance of South Asia
Sustainability and low-carbon economy strategies have been widely studied in the past;
nevertheless, researchers often ignore the effects of combining energy, economic, and …
nevertheless, researchers often ignore the effects of combining energy, economic, and …
[BOK][B] Data envelopment analysis: a comprehensive text with models, applications, references and DEA-solver software
WW Cooper, LM Seiford, K Tone - 2007 - Springer
In a relatively short period of time Data Envelopment Analysis (DEA) has grown into a
powerful quantitative, analytical tool for measuring and evaluating performance. It has been …
powerful quantitative, analytical tool for measuring and evaluating performance. It has been …
Data envelopment analysis (DEA)–Thirty years on
This paper provides a sketch of some of the major research thrusts in data envelopment
analysis (DEA) over the three decades since the appearance of the seminal work of …
analysis (DEA) over the three decades since the appearance of the seminal work of …
Data envelopment analysis: History, models, and interpretations
Abstract In about 30 years, Data Envelopment Analysis (DEA) has grown into a powerful
quantitative, analytical tool for measuring and evaluating the performance. DEA has been …
quantitative, analytical tool for measuring and evaluating the performance. DEA has been …
Review of ranking methods in the data envelopment analysis context
Within data envelopment analysis (DEA) is a sub-group of papers in which many
researchers have sought to improve the differential capabilities of DEA and to fully rank both …
researchers have sought to improve the differential capabilities of DEA and to fully rank both …
A taxonomy and review of the fuzzy data envelopment analysis literature: two decades in the making
Data envelopment analysis (DEA) is a methodology for measuring the relative efficiencies of
a set of decision making units (DMUs) that use multiple inputs to produce multiple outputs …
a set of decision making units (DMUs) that use multiple inputs to produce multiple outputs …
IDEA and AR-IDEA: Models for dealing with imprecise data in DEA
WW Cooper, KS Park, G Yu - Management science, 1999 - pubsonline.informs.org
Data Envelopment Analysis (DEA) is a nonparametric approach to evaluating the relative
efficiency of decision making units (DMUs) that use multiple inputs to produce multiple …
efficiency of decision making units (DMUs) that use multiple inputs to produce multiple …