Landing Risk Assessment Based on Statistics Error Multi-Attribute Decision Making

Abstract

To induce the landing risk, and improve the safety of pilots and carrier-based aircraft, this paper presents an improved landing risk assessment based on statistics error multi-attribute dynamic decision making (MADM). Attribute values is shown as triangular fuzzy numbers, and ordering vectors are achieved through possibility-degree and ordering expression. 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.