Abstract: During the process of customer collaboration in product innovation, one important thing is to match product innovation tasks and collaborative customers reasonably, which help to make full use of customers’ knowledge and ability, and promote the results of collaboration. This paper first proposes a matching strategy according to the characteristics of customer collaborative product innovation. Then, the concept of fuzzy matching degree is put forward to measure the matching degree between customers and tasks. On this basis, we take the maximum of fuzzy matching degree between them as target to build matching model. By using ranking method, we can solve this model and determine the optimal matching scheme. In this way, this study deals with the matching problem between product innovation tasks and collaborative customers under the cost and time constraints. The empirical results illustrates that the proposed model and method is reasonable, achievable and easy to operate, the conclusion of analysis is capable of helping decision maker to assign customers to product innovation tasks.