A fully fuzzy network DEA-Range Adjusted Measure model for evaluating airlines efficiency: A case of Iran |
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| Affiliation: | 1. School of Business Administration, Nanjing University of Finance and Economics, Nanjing 210023, China;2. School of Economics and Management, Southeast University, Nanjing 211189, China;1. School of Business Administration, Nanjing University of Finance and Economics, Nanjing, 210023, China;2. School of Economics and Management, Southeast University, Nanjing, 211189, China;1. University of Belgrade – Faculty of Transport and Traffic Engineering, Vojvode Stepe 305, 11 000, Belgrade, Serbia;2. Polytechnic University of Bari, Via Edoardo Orabona 4, 70126, Bari, Italy |
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| Abstract: | Due to the competition among companies, evaluating the performance is one of the most important issues for managers. Data Envelopment Analysis (DEA) - Range Adjusted Measure model (RAM) is one of the non-radial models to evaluate the performance of companies. This paper presents a fully fuzzy network DEA-RAM model for evaluating airlines and extends the network DEA-RAM model in the fully fuzzy framework. First, a network structure is designed for airlines and then, a DEA-RAM model is presented for calculating efficiency scores. To handle uncertainty in data, fully fuzzy approach is considered and finally, a multi-objective network model is proposed to calculate airlines’ efficiencies. To solve the proposed fully fuzzy DEA-RAM model, the lexicographic approach is used and the efficiency scores are reported as interval numbers. To illustrate the capability of the proposed fully fuzzy DEA-RAM model, the actual data of 14 Iranian airlines are gathered and the interval efficiencies of airlines are evaluated. |
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| Keywords: | DEA-RAM Fully fuzzy Efficiency Multi-objective Airline |
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