Third logistics supplier selection based on rough sets and BP neural network

In order to identify third logistics suppliers and select appropriate suppliers, a supplier identification model which could evaluate the performance of suppliers was proposed based on rough sets and BP neural network. In the model, supplier performance decision table was designed, the heuristic attribute reduction algorithm based on discernable matrix was put forward, and the reduction of evaluation indicator system was finished. On this basis, BP algorithm was designed and BP intelligent neural network was established. Thereafter, the application of the model for the supplier identification was demonstrated through an illustrative example, the appropriate supplier is selected. Thus, the supplier identification model based on rough sets and BP neural network is feasible.