Results 21 to 30 of about 38,663,920 (280)
Nonlinear genetic-based model for supplier selection: a comparative study
Technological and Economic Development of Economy, 2017 Evaluation and selection of candidate suppliers has become a major decision in business activities around the world. In this paper, a new hybrid approach based on integration of Gene Expression Programming (GEP) with Data Envelopment Analysis (DEA) (DEA ...
Alireza Fallahpour +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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Cost, Revenue and Profit Efficiency Models in Generalized Fuzzy Data Envelopment Analysis
Fuzzy Information and Engineering, 2017 One of the most important information given by data envelopment analysis models is the cost, revenue and profit efficiency of decision making units (DMUs).
A. Ashrafi, M. Mansouri Kaleibar
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USING A NON-PARAMETRIC TECHNIQUE TO EVALUATE THEEFFICIENCY OF A LOGISTICS COMPANY [PDF]
Transport Problems, 2020 Data Envelopment Analysis(DEA)is arelatively new method, a non-parametric techniqueused nowadays to evaluate the efficiency ofthe Decision-Making Units.Using this method, the Decision-Making Units can be compared between each other ...
Petr PRŮŠA +2 more
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Performance Evaluation Function for Benchmarking Process Using Context-Dependent Data Envelopment Analysis [PDF]
International Journal of Research in Industrial Engineering, 2012 Data envelopment analysis (DEA) is a methodology for identifying efficient frontier of decision making units (DMUs) with multiple outputs and inputs. Context-dependent DEA refers to a DEA approach where a set of DMUs are evaluated against a particular ...
H. Bagherzadeh Valami +2 more
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Fuzzy Optimization and Modeling, 2021 In this paper, the fuzzy chance-constrained data envelopment analysis (FCCDEA) approach is presented for stock evaluation and portfolio selection under data ambiguity.
Pejman Peykani +4 more
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, 2016 An explanation and quantification of the water-energy-food nexus (WEF-Nexus) is important to advance our understanding of regional resource management, which is presently in its infant stage. Evaluation of the current states, interconnections, and trends
Gui-Jun Li, Dao-Han Huang, Yu-Long Li
semanticscholar +1 more source
The DEA and Intuitionistic Fuzzy TOPSIS Approach to Departments' Performances: A Pilot Study
Journal of Applied Mathematics, 2011 This paper processes a unification of Fuzzy TOPSIS and Data Envelopment Analysis (DEA) to select the units with most efficiency. This research is a two-stage model designed to fully rank the organizational alternatives, where each alternative has ...
Babak Daneshvar Rouyendegh
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A Modified Super-Efficiency DEA Approach for Solving Multi-Groups Classification Problems [PDF]
International Journal of Computational Intelligence Systems, 2011 Among the various discriminant analysis (DA) methods, researchers have investigated several directions in this area: statistics, econometrics, computer data mining technologies and mathematical programming.
Jie Wu, Qingxian An, Liang Liang
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Network DEA based on DEA-ratio
Financial Innovation, 2021 Data envelopment analysis (DEA) is a technique to measure the performance of decision-making units (DMUs). Conventional DEA treats DMUs as black boxes and the internal structure of DMUs is ignored. Two-stage DEA models are special case network DEA models
Dariush Akbarian
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