Fuzzy MCDM Methodology Application in Analysis of Annual Operational Efficiency in Passenger and Freight Air Transport

The airline industry plays a vital role in global mobility and international trade, which makes the evaluation of its operational efficiency an important strategic task. This study evaluates and ranks the operational performance of passenger and freight air transport in Serbia over the period 2014–2023 by employing a fuzzy multi-criteria decision-making framework. Six key performance criteria were defined, with their weighting coefficients determined using the fuzzy MEREC method, while the ranking of alternatives was conducted using the fuzzy MARCOS method. The obtained results reveal noticeable variations in performance throughout the observed period and provide insights into efficiency trends in both passenger and freight segments of air transport. Furthermore, a sensitivity analysis confirmed the robustness and stability of the ranking outcomes. The findings of this research can support evidence-based decision-making and contribute to enhancing the operational efficiency and competitiveness of the air transport sector.

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Publication Details

Journal
Mathematics
Published
2025-11-04
DOI
https://doi.org/10.3390/math13213535
Citations
2
Primary Topic
Aviation Industry Analysis and Trends
Type
article
Field-Weighted Citation Impact
6.17
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article

Fuzzy MCDM Methodology Application in Analysis of Annual Operational Efficiency in Passenger and Freight Air Transport

Aleksandar Aleksić, Marija Runić Ristić, Dragan Marinković, Tahir Masood Qureshi et al.
2 citations
Mathematics
Aviation Industry Analysis and Trends
6.17
article

Fuzzy MCDM Methodology Application in Analysis of Annual Operational Efficiency in Passenger and Freight Air Transport

Aleksandar Aleksić, Marija Runić Ristić, Dragan Marinković, Tahir Masood Qureshi, Nikola Komatina, Nikola Petrović
article en
2 citations

Abstract

The airline industry plays a vital role in global mobility and international trade, which makes the evaluation of its operational efficiency an important strategic task. This study evaluates and ranks the operational performance of passenger and freight air transport in Serbia over the period 2014–2023 by employing a fuzzy multi-criteria decision-making framework. Six key performance criteria were defined, with their weighting coefficients determined using the fuzzy MEREC method, while the ranking of alternatives was conducted using the fuzzy MARCOS method. The obtained results reveal noticeable variations in performance throughout the observed period and provide insights into efficiency trends in both passenger and freight segments of air transport. Furthermore, a sensitivity analysis confirmed the robustness and stability of the ranking outcomes. The findings of this research can support evidence-based decision-making and contribute to enhancing the operational efficiency and competitiveness of the air transport sector.

MathematicsVol. 13(21)
Hamdan Bin Mohammed Smart University (AE), University of Kragujevac (RS), University of Nis (RS), Vilnius Gediminas Technical University (LT), Korea University (KR), Univerzitet Union Nikola Tesla (RS), Technische Universität Berlin (DE)
Openalex Percentile: Top 3%
Aviation Industry Analysis and Trends
6.17
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Fuzzy MCDM Methodology Application in Analysis of Annual Operational Efficiency in Passenger and Freight Air Transport — Aleksandar Aleksić, Marija Runić Ristić, et al. · Mathematics (2025) | TGRS Research Map | TGRS