Handling negative data in slacks-based measure data envelopment analysis models

DOI10.1016/j.ejor.2019.09.055zbMath1431.90081OpenAlexW2977593058MaRDI QIDQ2286878

Kaoru Tone, Chen-Hui Wu, Tsung-Sheng Chang

Publication date: 23 January 2020

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

Full work available at URL: https://doi.org/10.1016/j.ejor.2019.09.055

zbMATH Keywords

data envelopment analysisslacks-based measurenegative dataBP-SBMdivision by zero irrationality

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50)

Related Items (9)

A unified approach to radial, hyperbolic, and directional efficiency measurement in data envelopment analysis ⋮ Selecting slacks-based data envelopment analysis models ⋮ Service quality in football tourism: an evaluation model based on online reviews and data envelopment analysis with linguistic distribution assessments ⋮ Continuous models combining slacks-based measures of efficiency and super-efficiency ⋮ A modified slacks-based measure of efficiency in data envelopment analysis ⋮ Multiplier dynamic data envelopment analysis based on directional distance function: an application to mutual funds ⋮ Nested dynamic network data envelopment analysis models with infinitely many decision making units for portfolio evaluation ⋮ A modified DEA cross efficiency method with negative data and its application in supplier selection ⋮ A two-stage improved base point slacks-based measure of super-efficiency for negative data handling

Cites Work

• Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
• Measuring the efficiency of decision making units
• Units invariant and translation invariant DEA models
• Data envelopment analysis. A handbook of models and methods
• Input-output substitutability and strongly monotonic \(p\)-norm least distance DEA measures
• Translation invariance in data envelopment analysis
• Monotonicity of minimum distance inefficiency measures for data envelopment analysis
• A slacks-based measure of super-efficiency in data envelopment analysis
• Negative data in DEA: a directional distance approach applied to bank branches

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