在飞机驾驶舱等复杂人机系统中，动态变化的人与辅助系统协作关系可以使人机工作得更加协调，并提高系统整体的功能效果。为了实现需要融合多种决策信息的动态调整策略，提出基于D-S证据理论的飞行员辅助系统自动化级别动态调整的方法，首先运用模糊隶属度函数确定证据的基本信任分配，再采用基于证据间相似系数的冲突证据合成规则融合各个证据，最后通过一个实例表明该方法有效且可靠。%In a complex human-machine system such as aircraft cockpit , dynamic relationship of human and assistance system collaboration enhances the harmony between human and machine , and increases the whole system performance .In order to a-chieve dynamic adjustment strategy of needing to synthesize a variety of decision-making information , D-S evidence theory-based dynamic adjustment method of automation level for pilot assistance system is proposed .This method firstly utilizes fuzzy member-ship function to determine basic probability assignment , and then uses similarity coefficient-based combination rule to synthesize various evidences .Examples show that the method is effective and reliable .
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