Abstract: The assessment of contractors’ credit is a typical multi-indicator decision making problem. If assessed effectively, we can reduce the transaction cost and retrain their behavior. Therefore, they will behave normally, and in the end, to promote the construction industry to develop stably and healthily. As contractors are lack of credit at present, considering the features of indicators, a new credit evaluation method was proposed, which was based on DEA cross evaluation and fuzzy comprehensive assessment. We first calculated the average cross efficiency value of decision units’ quantitative indicators through the DEA model. Meanwhile, the qualitative indicators were got by the triangular fuzzy number weighted averaging operation. Finally, we ranked the contractors credit value through a numerical example, which verified the model we proposed is effective.