A fully fuzzy network DEA-Range Adjusted Measure model for evaluating airlines efficiency: A case of Iran. (October 2020)

• Record Type: Journal Article
• Authors: Heydari, Chiman; Omrani, Hashem; Taghizadeh, Rahim
• Is Part Of: Journal of air transport management. Volume 89(2020)
• Publication Date: 2020-10
• Subjects: DEA-RAM -- Fully fuzzy -- Efficiency -- Multi-objective -- Airline; Airlines -- Management -- Periodicals; Aeronautics, Commercial -- Management -- Periodicals; 387.7068
• DOI: 10.1016/j.jairtraman.2020.101923
• Languages: English
• ISSNs: 0969-6997

Abstract

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. Graphical abstract: Image 1 Highlights: The paper presents a network DEA-RAM developed as a novel fully fuzzy multi-objective model. All inputs and outputs as well as the efficiency scores are considered as fuzzy numbers. The proposed fully fuzzy network DEA-RAM model is applied to evaluate airlines in Iran.