Error analysis of air traffic control command decision based on rough complex network

Air traffic control is also named flight control and it is the general term of supervision control and mandatory management implemented by relevant departments according to flight rules issued by the country for aircrafts flying in the sky. The main purpose is to maintain flight order and prevent collision of aircrafts and collision between aircrafts with barriers on the ground. Attribute association degree is combined with cost-sensitive ideology in the Thesis and one method to generate air traffic control tree based on complex network with compound rough set integration. In selecting splitting attributes, the attribute association degree is not considered in the method and the cost-sensitive ideology is also introduced. The experiment result shows that the decision-making tree constructed with the method in the Thesis has higher classification accuracy and fewer quantity of nodes.