Train operation adjustment decision-making based on rough sets and information entropy theory

Train operation parameters were defined by using rough sets theory. The train operation decision table was established on the bases of the real-time data which was acquired from the actual train operation graphs in the train operation dispatching system. The information entropy theory was used in the process of analyzing each object of the decision table, and the function of each condition attribute for reducing decision making uncertainty was studied. Then, the importance ranking of the train operation attributes were determined. The work can provide a reference to the dispatchers during train operation adjustment.