Credit-Assessment-Based Study on Partner Selection of the Industrial Cluster Enterprise

In this paper we want to provide a decision-making model for cluster enterprises to select partners. Previous studies are more based on enterprises' capabilities, we studies from a new perspective of credit assessment. First, we established a credit assessment index system of cluster enterprises' partners, it analyzed a candidate enterprise from three parts as strength credibility, honesty credibility and compatibility credibility. Second, we established a credit assessment model based on BP neural network and the index system. Then, we used Matlab software building a suit of algorithm with the model. Finally, we chose 51 cluster enterprises in Henan as case to test our model, and proved that the model was available. Our paper affords cluster enterprise a valid support on partner selection.