Results 11 to 20 of about 5,724 (213)
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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Neutrosophic perspective on DEA
Journal of Applied Research on Industrial Engineering, 2018 Several attempts have been made to deal with uncertain input and output data in Data Envelopment Analysis (DEA). However, due to the limitation of these methods, they cannot be applied for solving DEA with indeterminacy, impreciseness, vagueness ...
Seyed Ahmad Edalatpanah
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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.
F. Russo, C. Rindone
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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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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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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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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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Robust approach for efficiency measurement of employee performance under profit sharing system
Economic Journal of Emerging Markets, 2018 This study estimates the efficiency of employees’ performances under profit sharing system using data envelopment analysis (DEA). This method is one of the most common methods used in efficiency measurement analysis. However, a robust approach is used
Umi Mahmudah, Muhamad Safiih Lola
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