Data envelopment analysis and big data
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Publication:1755403
DOI10.1016/j.ejor.2018.10.044zbMath1430.90407OpenAlexW2899304741MaRDI QIDQ1755403
Wade D. Cook, Joe Zhu, Dariush Khezrimotlagh, Mehdi Toloo
Publication date: 9 January 2019
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2018.10.044
Applications of statistics to economics (62P20) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Management decision making, including multiple objectives (90B50) Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08)
Related Items (11)
Parallel processing of the Build Hull algorithm to address the large-scale DEA problem ⋮ Frontier-based incentive mechanisms for allocating common revenues or fixed costs ⋮ Simulation designs for production frontiers ⋮ Big data efficiency analysis: improved algorithms for data envelopment analysis involving large datasets ⋮ A nonparametric framework to detect outliers in estimating production frontiers ⋮ Efficiency evaluation of very large-scale samples: data envelopment analysis with angle-index synthesis ⋮ Number of performance measures versus number of decision making units in DEA ⋮ A modified slacks-based measure of efficiency in data envelopment analysis ⋮ A DEA-based incentive approach for allocating common revenues or fixed costs ⋮ Aggregation of inputs and outputs prior to data envelopment analysis under big data ⋮ OR for entrepreneurial ecosystems: a problem-oriented review and agenda
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