Determining a common set of weights in data envelopment analysis by bootstrap

DOI10.1007/s40096-020-00344-7zbMath1479.90113OpenAlexW3043373734MaRDI QIDQ2041146

Akbar Amiri, Alireza Amirteimoori, Saber Saati

Publication date: 15 July 2021

Published in: Mathematical Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40096-020-00344-7

zbMATH Keywords

bootstraprankingefficiencydata envelopment analysiscommon weights

Mathematics Subject Classification ID

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

Uses Software

• bootstrap

Cites Work

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• Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models
• A DEA- COMPROMISE PROGRAMMING MODEL FOR COMPREHENSIVE RANKING
• Multiobjective data envelopment analysis
• Computers and the Theory of Statistics: Thinking the Unthinkable
• Data envelopment analysis with common weights: the compromise solution approach
• The Price of Robustness
• Cone ratio data envelopment analysis and multi-objective programming
• TESTING RESTRICTIONS IN NONPARAMETRIC EFFICIENCY MODELS
• A compromise solution approach for finding common weights in DEA: an improvement to Kao and Hung's approach

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