Uncertain random data envelopment analysis: efficiency estimation of returns to scale

DOI10.1155/2021/6630317zbMath1478.90049OpenAlexW3128869800MaRDI QIDQ2247628

Shuang Feng, Jian Li, Bao Jiang, Jinwu Gao

Publication date: 17 November 2021

Published in: Advances in Mathematical Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2021/6630317

zbMATH Keywords

random datadecision-making units (DMUs)

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50)

Cites Work

• Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
• Measuring the efficiency of decision making units
• Recent developments in DEA. The mathematical programming approach to frontier analysis
• Estimating most productive scale size using data envelopment analysis
• An additive model approach for estimating returns to scale in imprecise data envelopment analysis
• Stochastic models and variable returns to scales in data envelopment analysis
• Chance constrained programming approaches to congestion in stochastic data envelopment analysis.
• Uncertain random programming with applications
• Uncertain data envelopment analysis with imprecisely observed inputs and outputs
• Uncertain random variables: a mixture of uncertainty and randomness
• Data envelopment analysis with uncertain inputs and outputs
• A Nonparametric Cost Approach to Scale Efficiency
• Uncertainty theory

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