The evaluation of airport pavement service performance plays an important role in pavement maintenance, rehabilitation and overlay. A systematic pavement performance evaluation model was established using the Fuzzy Complex Matter Element and combination weights. Firstly, the indices for evaluation such as Pavement Condition Index, Friction Coefficient, roughness performance and Bearing Capability were chose to evaluat the airport pavement service performance. Secondly, the synthesis weight of each evaluation index was determined using Entropy Method and Analytic Hierarchy Process Method. Finally, the relevancy degree fuzzy complex matter element was determined, and the degree of the airport pavement service performance can be determined according to the largest relevancy degree principle. This evaluation method has a broader applicable scope, because it is not only capable in considering subjective factors based on experts and experience, but also capable in considering the precision of objective information from the actual measuring reasonably. Finally, three regions of an airport pavement are evaluated by this method, and the evaluation results agree well with the actual pavement condition.