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A Knowledge-Data-Driven Emergency Decision Support Method for Aviation Support Operation Risk

In: Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)

Author

Listed:
  • Yihui Gong

    (Beijing Institute of Technology, School of Mechanical Engineering)

  • Jing Liu

    (China State Shipbuilding Corporation System Engineering Research Institute)

  • Hongwei Guo

    (Beijing Institute of Technology, School of Mechanical Engineering)

  • Tian Bai

    (China State Shipbuilding Corporation System Engineering Research Institute)

  • Chengyu Li

    (Beijing Institute of Technology, School of Mechanical Engineering)

  • Zhaoting Yuan

    (Beijing Institute of Technology, School of Mechanical Engineering)

Abstract

The aviation support system is the core of ensuring the safe takeoff and landing of aircraft and orderly operation. However, when the aviation support task is carried out, there are many factors leading to disasters, with a wide range of impacts, leading to difficult safety management. Therefore, it is necessary to avoid the occurrence of risks and quickly curb the spread of risks. In view of the problems of high timeliness and complexity of aviation support operation risk decision-making, the characteristic attributes of three parts of the disposal process are given through the analysis of the decision-making process. A knowledge-data-driven emergency decision support method for aviation support operation risk, based on case-based reasoning and rule-based reasoning is proposed, which can quickly generate effective decision schemes. With the verification of 20 cases of aviation support operation risk, the performance of the hybrid method was better than pure CBR or RBR.

Suggested Citation

  • Yihui Gong & Jing Liu & Hongwei Guo & Tian Bai & Chengyu Li & Zhaoting Yuan, 2024. "A Knowledge-Data-Driven Emergency Decision Support Method for Aviation Support Operation Risk," Advances in Economics, Business and Management Research, in: Suhaiza Hanim Binti Dato Mohamad Zailani & Kosga Yagapparaj & Norhayati Zakuan (ed.), Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), pages 293-301, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-256-9_31
    DOI: 10.2991/978-94-6463-256-9_31
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