The curse of dimensionality of decision-making units: a simple approach to increase the discriminatory power of data envelopment analysis
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Publication:2315646
DOI10.1016/j.ejor.2019.06.025zbMath1430.90316OpenAlexW2951685495WikidataQ127632373 ScholiaQ127632373MaRDI QIDQ2315646
Joe Zhu, Juan Pablo Aparicio, Vincent Charles
Publication date: 25 July 2019
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: http://bear.buckingham.ac.uk/381/1/EJOR.pdf
Management decision making, including multiple objectives (90B50) Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08)
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Cites Work
- Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
- Increasing discrimination of DEA evaluation by utilizing distances to anti-efficient frontiers
- Stepwise selection of variables in data envelopment analysis: procedures and managerial perspectives
- Improving discrimination in data envelopment analysis: PCA-DEA or variable reduction
- Radial DEA models without inputs or without outputs
- Weights restrictions and value judgements in data envelopment analysis: Evolution, development and future directions
- Model misspecification in data envelopment analysis
- An acceptance system decision rule with data envelopment analysis.
- Combining ranking scales and selecting variables in the DEA context: The case of industrial branches.
- Sensitivity and dimensionality tests of DEA efficiency scores.
- A comparative analysis of DEA as a discrete alternative multiple criteria decision tool
- Ranking efficient decision making units in data envelopment analysis based on reference frontier share
- Satisficing data envelopment analysis: a Bayesian approach for peer mining in the banking sector
- A multivariate statistical approach to reducing the number of variables in data envelopment analysis
- Improving discriminating power in data envelopment models based on deviation variables framework
- Measuring the performance of nations at the Olympic Games using DEA models with different preferences
- SELECTING INPUTS AND OUTPUTS IN DATA ENVELOPMENT ANALYSIS BY DESIGNING STATISTICAL EXPERIMENTS(<Special Issue>Operations Research for Performance Evaluation)
- Restricting Weight Flexibility in Data Envelopment Analysis
- A Statistical Test for Nested Radial Dea Models
- A Procedure for Ranking Efficient Units in Data Envelopment Analysis
- Efficiency and Cross-efficiency in DEA: Derivations, Meanings and Uses
- Including principal component weights to improve discrimination in data envelopment analysis
- Selecting DEA specifications and ranking units via PCA
- Infeasibility Of Super-Efficiency Data Envelopment Analysis Models
- Pitfalls and protocols in DEA
- Evaluation of deregulated airline networks using data envelopment analysis combined with principal component analysis with an application to Western Europe
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