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 Display Omitted

    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.


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    Title :

    A fully fuzzy network DEA-Range Adjusted Measure model for evaluating airlines efficiency: A case of Iran


    Contributors:


    Publication date :

    2020-08-23




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English







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