presented the theory, question and resolution of application of rough set in mining association rules. The relations of the data set from provincial road transportation are discovered. They proposed the relation of support, confidence and the amount of rules that are obtained from rough set approach. All the conclusion were proved in data mining in provincial road transportation management information System.