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Preface: data envelopment analysis [PDF]
INFOR: Information Systems and Operational Research, 2018 Data envelopment analysis (DEA) is a methodology for data-oriented analytics. Over the years, we have seen new and novel developments and applications of DEA in a variety of areas.
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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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Efficiency in human Development: a Data Envelopment Analysis Efficiency in human Development: a Data Envelopment Analysis [PDF]
The European Journal of Comparative Economics, 2012 The human development index (HDI) is a measure of development which allows countries' development to be assessed on the basis of three indicators that measure the health, education, and standard of living of the population. The UNDP also computes a human
Valérie Vierstraete
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Uses of data envelopment analysis in forestry
Turkish Journal of Forestry, 2017 In Turkey, State Forest Enterprises are accepted as the most intensive economic units for forestry activities. The sustainability of state forest enterprises can be obtained by efficient usage of their resources.
Mahmut BAYRAMOĞLU, Devlet TOKSOY
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Measuring Efficiency Using Fuzzy DEA and Fuzzy Constraints to Control Weights and to Find a Common Set of Weights [PDF]
مدیریت صنعتی, 2013 In this paper it has been tried to present a model by usingsome changes in the classical DEA models and combining these modelswith fuzzy models to eliminate these weaknesses.
Mohammad Reza Sadeghi Moghaddam +1 more
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Possibilistic Data Envelopment Analysis [PDF]
Mathematical and Computational Applications, 2002 Data of problems in real world, fuzziness/impreciseness/absence appears due to various reasons very often. In such cases, difficulty in model building can be overcome by using fuzzy set theory and concepts. In this study, only situation of data lacking will be considered, Data envelopment analysis cannotbe used in the absence of one or more data in ...
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, 2022 S.143-149Technology depends on innovation - but innovative developments are hard to predict. In addition to existing approaches for Technology Forecasting, the use of data envelopment analysis (DEA) provides valuable insights and prediction data.
Leyendecker, Nadja +4 more
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Ranking models in data envelopment analysis [PDF]
Trendy v podnikání, 2017 Traditional data envelopment analysis models split decision making units into two basic groups, efficient and inefficient. They are based on solving linear optimization problems and currently they represent very popular tool for efficiency and ...
Josef Jablonský
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Data envelopment analysis for highway asset investment assessment
Journal of Traffic and Transportation Engineering (English ed. Online), 2021 Highway agencies have been using many of the elements of asset management with the support of various decision-making tools. To determine the most effective investment strategy with scarce resources, the integration, and hence better utilization, of ...
Joshua Qiang Li, Sue McNeil
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Data Envelopment Analysis Models in Non-Homogeneous Environment
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2019 Data envelopment analysis (DEA) is a non-parametric method that is widely used for relative efficiency and performance evaluation of the set of decision-making units (DMUs).
Josef Jablonský
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