A computational study of DEA with massive data sets
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Publication:941542
DOI10.1016/j.cor.2006.07.011zbMath1157.90479OpenAlexW1974899953MaRDI QIDQ941542
Publication date: 1 September 2008
Published in: Computers \& Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cor.2006.07.011
Related Items (16)
Parallel processing of the Build Hull algorithm to address the large-scale DEA problem ⋮ Multidimensional frontier visualization based on optimization methods using parallel computations ⋮ Efficiency evaluation of very large-scale samples: data envelopment analysis with angle-index synthesis ⋮ Competing output-sensitive frame algorithms ⋮ RED: a new method for performance ranking of large decision making units ⋮ Generalizing cross redundancy in data envelopment analysis ⋮ Enumeration algorithms for FDH directional distance functions under different returns to scale assumptions ⋮ Improving discrimination in data envelopment analysis without losing information based on Renyi's entropy ⋮ Preprocessing DEA ⋮ Data envelopment analysis and big data ⋮ Determining radial efficiency with a large data set by solving small-size linear programs ⋮ Interior point methods in DEA to determine non-zero multiplier weights ⋮ Data envelopment analysis of multiple response experiments ⋮ Aggregation of inputs and outputs prior to data envelopment analysis under big data ⋮ A procedure for large-scale DEA computations ⋮ A unified model for detecting efficient and inefficient outliers in data envelopment analysis
Uses Software
Cites Work
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- Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
- Measuring the efficiency of decision making units
- Streamlined computation for data envelopment analysis
- Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions
- An effective non-Archimedean anti-degeneracy/cycling linear programming method especially for data envelopment analysis and like models
- Parallel and hierarchical decomposition approaches for solving large-scale data envelopment analysis models
- Algorithms for the Frame of a Finitely Generated Unbounded Polyhedron
- Solving Real-World Linear Programs: A Decade and More of Progress
- Effects of excluding the column being scored from the DEA envelopment LP technology matrix
- Nonparametric frontier analysis with multiple constituencies
- A slacks-based measure of efficiency in data envelopment analysis
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