Abstract: Aiming at the bilateral matching of the demand and supply in knowledge service, how to develop a relevant model was studied on the bases of multi-index evaluation information and its processing. With the maximum satisfaction, given to both knowledge demand and supply, and the maximization of intermediary interests in knowledge service taken as the objectives, a multi-objective bilateral matching optimization model was developed. Furthermore, the weighted sum based on membership functions was used to transform the multiobjective optimization model into a single objective one to which the solution offered the bilateral matching results. A numerical example is given to illustrate the feasibility and validity of the bilateral matching model thus proposed.