A new stochastic model for classifying flexible measures in data envelopment analysis

DOI10.1007/s40305-020-00318-5zbMath1488.90091OpenAlexW3084553405MaRDI QIDQ2059167

G. Tohidi, Behrouz Daneshian, Mansour Sharifi, Farzin Modarres Khiyabani

Publication date: 13 December 2021

Published in: Journal of the Operations Research Society of China (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40305-020-00318-5

zbMATH Keywords

data envelopment analysisrandom variablestochastic modelclassifyingflexible variables

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50) Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08)

Cites Work

• Measuring the efficiency of decision making units
• Estimating most productive scale size using data envelopment analysis
• Classifying inputs and outputs in data envelopment analysis
• An input relaxation measure of efficiency in stochastic data envelopment analysis
• On classifying inputs and outputs in DEA: a revised model
• Dominance stochastic models in data envelopment analysis
• Chance constrained programming approaches to congestion in stochastic data envelopment analysis.
• Chance-Constrained Programming
• Flexible measures in production process: A DEA-based approach
• Intelligent Computing and Optimization

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