Results 251 to 260 of about 38,312,241 (301)

Improving envelopment in data envelopment analysis

European Journal of Operational Research, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rachel Allen, Emmanuel Thanassoulis
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Data envelopment analysis with imprecise data

European Journal of Operational Research, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dimitris K. Despotis, Yannis G. Smirlis
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Data envelopment analysis and big data

European Journal of Operational Research, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dariush Khezrimotlagh, Joe Zhu, Wade D. Cook, Mehdi Toloo   +3 more
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Data Envelopment Analysis.

Journal of Travel & Tourism Marketing, 2002
Abstract This article applies Data Envelopment Analysis (DEA) to the field of travel and tourism. DEA has become a popular technique for measuring and evaluating performance. It has been successfully applied for the evaluation of efficiencies and the identification of benchmarking partners in situations where multiple inputs and outputs occur.
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On the Origins of Data Envelopment Analysis

Journal of Productivity Analysis, 2002
The concept “Data Envelopment Analysis” (DEA) was introduced in the journal literature by the highly influential 1978 paper of Charnes, Cooper, and Rhodes. In the subsequent literature the development of research leading up to this paper tended to be forgotten.
Førsund, Finn R., Sarafoglou, Nikias
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Clustering and meta-envelopment in data envelopment analysis

European Journal of Operational Research, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Quadratic data envelopment analysis

Journal of the Operational Research Society, 2002
Summary: Data Envelopment Analysis (DEA) offers a piece-wise linear approximation of the production frontier. The approximation tends to be poor if the true frontier is not concave, eg in case of economies of scale or of specialisation. To improve the flexibility of the DEA frontier and to gain in empirical fit, we propose to extend DEA towards a more ...
Timo Kuosmanen, Thierry Post
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Data envelopment analysis with stochastic data

Journal of the Operational Research Society, 2004
Summary: Data envelopment analysis (DEA) has proven to be a useful technique in evaluating the efficiency of decision making units that produce multiple-outputs using multiple-inputs. However, the ability to estimate efficiency reliably is hampered in the presence of measurement error and other statistical noise.
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Multiobjective data envelopment analysis

Journal of the Operational Research Society, 2009
Summary: Data envelopment analysis (DEA) is popularly used to evaluate relative efficiency among public or private firms. Most DEA models are established by individually maximizing each firm's efficiency according to its advantageous expectation by a ratio.
Yuh-Wen Chen, Moussa Larbani, Y.-P. Chang   +2 more
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Data envelopment analysis with missing data

Journal of the Operational Research Society, 2009
A first systematic attempt to use data containing missing values in data envelopment analysis (DEA) is presented. It is formally shown that allowing missing values into the data set can only improve estimation of the best-practice frontier. Technically, DEA can automatically exclude the missing data from the analysis if blank data entries are coded by ...
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