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Research on Landing Risk Assessment for Carrier-Based Aircrafts by M-V Multiattribute Decision-Making

Author

Listed:
  • Yu-Ru Zhang

    (Harbin University of Commerce, Harbin, China)

  • Weiwei Yang

    (Harbin University of Commerce, Harbin, China)

  • Hui Li

    (Harbin University of Commerce, Harbin, China)

  • Xiaodong Su

    (Harbin University of Commerce, Harbin, China)

Abstract

For increasing accuracy rate of landing risk assessment of carrier-based aircraft, this article is committed to research on landing risk assessment of carrier-based aircraft based on mean-variance dynamic multi-attribute decision making. Attribute values are provided in the form of triangle fuzzy number. Mean sort values is acquired by formula of possibility degree and order. For solving a problem of the same or similar orders, the improved method combines mean and variance, analyzing and judging, getting alternatives rank. Finally, the feasibility and availability of the improved method is proved by simulation results.

Suggested Citation

  • Yu-Ru Zhang & Weiwei Yang & Hui Li & Xiaodong Su, 2018. "Research on Landing Risk Assessment for Carrier-Based Aircrafts by M-V Multiattribute Decision-Making," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), IGI Global, vol. 12(2), pages 48-61, April.
    • Handle: RePEc:igg:jcini0:v:12:y:2018:i:2:p:48-61
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    Cited by:

    1. Hanjie Hu & Yu Wu & Jinfa Xu & Qingyun Sun, 2018. "Path Planning for Autonomous Landing of Helicopter on the Aircraft Carrier," Mathematics, MDPI, vol. 6(10), pages 1-20, September.

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