Abstract: As a traditional credit evaluation method cannot effectively process quantitative indicators and qualitative indicators simultaneously, a credit evaluation method is proposed by combining data envelopment analysis (DEA) and fuzzy comprehensive assessment (FCA). First, the average crossefficiency value of each decision-making unit for the quantitative indicators is calculated and fuzzified by DEA. Then, the qualitative indicators are digitized by the membership functions given by experts. Finally, all fuzzified indicators are used for overall credit evaluation based on the weight vector. Empirical results show that the proposed credit evaluation method is objective and reliable.