Results 11 to 20 of about 38,663,920 (280)
Transport, 2011 Data Envelopment Analysis (DEA) is a non-parametric linear programming method used for determining the efficiency of a set of companies as compared to the best practice frontier.
Rita Markovits-Somogyi
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Hesitant Fuzzy-Stochastic Data Envelopment Analysis (HF-SDEA) Model for Benchmarking
JOIV: International Journal on Informatics Visualization, 2021 The Data Envelopment Analysis (DEA) method is a method commonly used in benchmarking. The Dynamic Data Envelopment Analysis (DDEA) method was proposed to improve the DEA method in the benchmarking process.
Dahlan Abdullah +2 more
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Extended Utility and DEA Models without Explicit Input [PDF]
, 2013 In this paper, we discuss the relationship between multi-attribute utility theory and data envelopment analysis (DEA) models without explicit inputs (DEA-WEI), including dual models and some theoretical analysis of DEA-WEI models. We then propose generic
Wanfang Shen +7 more
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Statistical Interval for Data Envelopment Analysis
Journal of Basic and Applied Research in Biomedicine, 2022 The techniques of data envelopment analysis (DEA) were largely studied. Data envelopment analysis (DEA) is a methodology for measuring the relative efficiencies of a set of decision making units (DMUs) that use multiple inputs to produce multiple ...
Asmaa Zeidan +2 more
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Inventory-related costs in green supplier selection problems with Data Envelopment Analysis (DEA)
International Journal of Production Economics, 2019 In today's competitive and dynamic world, the importance of supplier evaluation has become more widely recognized. When considering measurement of supplier performance and supply impact the literature identifies two sets of criteria: management criteria ...
I. Dobos, Gyöngyi Vörösmarty
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Evaluating the Efficiency of Decision Making Units in Fuzzy two-stage DEA Models
Fuzzy Information and Engineering, 2022 Data envelopment analysis (DEA) is an optimization method to assess the efficiency of decision-making units with multiple-inputs/multiple-outputs assumption.
Roohollah Abbasi Shureshjani +2 more
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Comparison Between Data Envelopment Analysis Models with Penalties
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2019 The paper deals with Data Envelopment Analysis (DEA) models with advanced voting systems for ranking of candidates with penalties. The main aims of the system are to find a general winner and ranking of all candidates.
Petra Zýková
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Data Envelopment Analysis (DEA) for evacuation planning [PDF]
WIT Transactions on Information and Communication Technologies, 2010 In this paper a non parametric method to evaluate evacuation planning in an urban system is presented. An efficiency criterion is adopted and Data Envelopment Analysis, in the field of non parametric methods, is proposed to compare different evacuation plans. A test application is illustrated.
Russo, F., Rindone, C.
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Assessment of truck driver safety efficiency based on data envelopment analysis [PDF]
E3S Web of ConferencesThis paper introduces a safety efficiency evaluation framework that integrates Data Envelopment Analysis (DEA) and Super-Efficiency Data Envelopment Analysis (SE-DEA) for quantitatively assessing the safety of truck drivers.
Hu Dunli, Zhang Xiangdong, Zhang Jianhua
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Acta Natura et Scientia, 2021 Data envelopment analysis is used when it is difficult to measure the relative effectiveness of organizational decision-making units due to a large number of similar inputs and outputs. Firstly, data envelopment analysis was discussed in this study.
Hülya Sayğı +3 more
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