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To induce the landing risk of carrier-based aircraft, and improve the safety of pilots and carrier-based aircraft, tthis paper presents an improved landing risk evaluation of carrier-based aircraft based on Mean-Variance statistics error multi-attribute dynamic decision making. Attribute values is shown as triangular fuzzy numbers, and ordering vectors are achieved through possibility-degree and ordering expression. In accordance with ordering wave from ordering values at different times to desire rank, condition analysis should be conducted. Finally, the rank ordering is acquired. The model simulation results indicate the better performance of the new method in comparison with the traditional controller with more accuracy and practicability.

 
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