Study on Selecting the Infrastructure Project Financing Mode Based on Rough Sets and BP Neural Network

A new method based on the integration of rough set theory (RS) and Back Propagation (BP) neural network is put forward for selecting the infrastructure project financing mode. Firstly, the continuous attributes in the decision system are discretized with self-organizing map (SOM) neural network. Then, the remained indicators are found by using rough set theory to reduce attributes and eliminate superfluous data. And then, BP neural network is used to evaluate the infrastructure project financing modes. In order to grasp this method better, finally, the paper provides a case to demonstrate the application of this method in selecting the infrastructure project financing mode.