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An intelligent decision making approach for identifying and analyzing airport risks

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  • Jahangoshai Rezaee, Mustafa
  • Yousefi, Samuel

Abstract

Airport is a main infrastructure with the risk of danger and catastrophic damages throughout its activities. These dangers can lead to heavy financial damages and casualties. Thus, identification and prioritization of airport risks and their impact on the system are issues by which the airport management can plan control measures in order to increase safety and to improve system performance. In this regard, this study tries to provide a new decision-making approach to prioritize airport risks in order to consider the cause-effect relationships between risks and their relationships with system objectives that indeed reflect the performance of the airport. Proposed decision-making approach uses fuzzy cognitive map (FCM) method and slack-based data envelopment analysis (SBDEA). So that, at first, cognitive map is drawn for airport risks and system objectives (measurement factors); Then, the impact of each risk on measurement factors is evaluated using learning algorithm based on extended Delta rule and risks are prioritized using SBDEA model without outputs. In the proposed decision-making approach, airport risks are considered as alternatives and the impact of each risk on measurement factors (the output of learning algorithm) are considered as evaluation criteria. Results of using proposed approach in Urmia International Airport located at northwestern in Iran show that risks including: “Lack of staff training†, “Inappropriate ground handling†and “Inoperable navigation aid (NAVAID)†are the main risks in this airport.

Suggested Citation

  • Jahangoshai Rezaee, Mustafa & Yousefi, Samuel, 2018. "An intelligent decision making approach for identifying and analyzing airport risks," Journal of Air Transport Management, Elsevier, vol. 68(C), pages 14-27.
    • Handle: RePEc:eee:jaitra:v:68:y:2018:i:c:p:14-27
    DOI: 10.1016/j.jairtraman.2017.06.013
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    References listed on IDEAS

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    Cited by:

    1. Yousefi, Samuel & Mohamadpour Tosarkani, Babak, 2022. "An analytical approach for evaluating the impact of blockchain technology on sustainable supply chain performance," International Journal of Production Economics, Elsevier, vol. 246(C).
    2. Mohsen Abbaspour Onari & Mustafa Jahangoshai Rezaee, 2022. "A fuzzy cognitive map based on Nash bargaining game for supplier selection problem: a case study on auto parts industry," Operational Research, Springer, vol. 22(3), pages 2133-2171, July.
    3. Samira Foladi & Maghsud Solimanpur & Mustafa Jahangoshai Rezaee, 2020. "Inverse Dynamic Data Envelopment Analysis for Evaluating Faculties of University with Quasi-Fixed Inputs," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(1), pages 323-347, February.
    4. Paria Azizpour & Mustafa Jahangoshai Rezaee, 2024. "Enhancing Choquet integral in risk assessment of auto parts manufacturing process in the network structure of failure modes," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(6), pages 2271-2283, June.
    5. Jahangoshai Rezaee, Mustafa & Yousefi, Samuel & Hayati, Jamileh, 2019. "Root barriers management in development of renewable energy resources in Iran: An interpretative structural modeling approach," Energy Policy, Elsevier, vol. 129(C), pages 292-306.

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