Variables reduction in data envelopment analysis

DOI10.1080/02331934.2012.684354zbMath1302.90128OpenAlexW2011571155MaRDI QIDQ5169453

Alireza Amirteimoori, Sohrab Kordrostami, Dimitris K. Despotis

Publication date: 10 July 2014

Published in: Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331934.2012.684354

zbMATH Keywords

principal component analysisefficiencydata envelopment analysisinputs/outputs

Mathematics Subject Classification ID

Decision theory (91B06) Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08)

Related Items (4)

Numerical reduced variable optimization methods via implicit functional dependence with applications ⋮ On variable reductions in data envelopment analysis with an illustrative application to a gas company ⋮ Comparison of variable selection techniques for data envelopment analysis in a retail bank ⋮ Methodology for calculating critical values of relevance measures in variable selection methods in data envelopment analysis

Cites Work

• Measuring the efficiency of decision making units
• A dimensional decomposition approach to identifying efficient units in large-scale DEA models
• Data envelopment analysis vs. principal component analysis: An illustrative study of economic performance of Chinese cities
• A slacks-based measure of super-efficiency in data envelopment analysis
• A multivariate statistical approach to reducing the number of variables in data envelopment analysis
• A Euclidean distance-based measure of efficiency in data envelopment analysis
• A Procedure for Ranking Efficient Units in Data Envelopment Analysis
• Including principal component weights to improve discrimination in data envelopment analysis
• Pitfalls and protocols in DEA

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