A situation awareness assessment method based on fuzzy cognitive maps

The status of an operator's situation awareness is one the critical factors that influence quality missions. Thus measurement method important topic to research. So far, there are lots methods designed for status, but no model can measure it accurately in real-time, so this work conducted deal with such a gap. Firstly, collect relevant physiological data operators while they performing specific mission, simultaneously, their by using global assessment technique (SAGAT), which known accuracy cannot be used real-time. And then, after preprocessing raw data, use as features, SAGAT's results label train fuzzy cognitive map (FCM), explainable and powerful intelligent model. Also, hybrid learning algorithm particle swarm optimization (PSO) gradient descent proposed FCM training. final show learned assess has better efficiency accuracy.