The Application of Rough Neural Network in RMF Model

In many models of customer relationship management (CRM) analysis, RFM model is widely accepted. RMF model is an important tool to weigh customer value and customer profitability. To address this issue, this paper closely combines the rough set theory with neural network and uses rough set theory to process the random sample data from dataset. Then the data is projected from high-dimensional to low dimensional, and the redundant attributes of sample data are removed. The sampling data which is processed after using rough set theory is trained on the neural network. At last, we use the test data to test and verify this model. Experimental results show that compared with the traditional BP neural network, rough neural network has a significant improvement in accuracy, and an advantage in the computing speed.