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

Yu-Ru Zhang, Weiwei Yang, Hui Li and Xiaodong Su
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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

International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 2018, vol. 12, issue 2, 48-61

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.

Date: 2018
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