DEA models for the explicit maximisation of relative efficiency

DOI10.1016/S0377-2217(00)00099-0zbMath0994.90080OpenAlexW1981791740MaRDI QIDQ5935389

Victor V. Podinovski

Publication date: 26 June 2001

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0377-2217(00)00099-0

zbMATH Keywords

data envelopment analysisweight restrictions

Mathematics Subject Classification ID

Linear programming (90C05) Management decision making, including multiple objectives (90B50)

Related Items (18)

An alternative approach in the estimation of returns to scale under weight restrictions ⋮ Optimal weights in DEA models with weight restrictions ⋮ Efficient allocation of resources to a portfolio of decision making units ⋮ A new Monte Carlo based procedure for complete ranking efficient units in DEA models ⋮ Buffered-ranking intervals for virtual profit efficiency analysis ⋮ RED: a new method for performance ranking of large decision making units ⋮ DEA-like models for the efficiency evaluation of hierarchically structured units. ⋮ Incorporating preference information in a range directional composite indicator: the case of portuguese public hospitals ⋮ The hybrid returns-to-scale model and its extension by production trade-offs: an application to the efficiency assessment of public universities in Malaysia ⋮ Data envelopment analysis based on maximin relative efficiency criterion ⋮ A feasible interval for weights in data envelopment analysis ⋮ Properties of DEA-integrated balance and specialization measures ⋮ Pitfalls and protocols in DEA ⋮ Efficiency intervals, rank intervals and dominance relations of decision-making units with fixed-sum outputs ⋮ A new hybrid decision making system for supplier selection ⋮ A multiplier bound approach to assess relative efficiency in DEA without slacks ⋮ The measurement of relative efficiency using data envelopment analysis with assurance regions that link inputs and outputs ⋮ ``NeuralDEA -- a framework using neural network to re-evaluate DEA benchmarks

Cites Work

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• Measuring the efficiency of decision making units
• Polyhedral cone-ratio DEA models with an illustrative application to large commercials banks
• Side effects of absolute weight bounds in DEA models
• Weights restrictions and value judgements in data envelopment analysis: Evolution, development and future directions
• Introduction: Extensions and new developments in DEA
• Assessing the relative efficiency of decision making units using DEA models with weight restrictions
• Cone ratio data envelopment analysis and multi-objective programming
• Programming with linear fractional functionals

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