Abstract: In considering high default rate in financial leasing, a multiattribute credit risk evaluation method is presented in this paper. This study is conducted with financial leasing for the construction machinery industry as a case. By analyzing the credit risk for this industry, an index system is developed, which contains both the financial indexes and nonfinancial indexes. Then, the risk evaluation is based on the experts’ scores on the given index set. With subjective preference of experts considered, a new method for multiattribute group decisionmaking is proposed to determine the attribute weights. Numerical results show that the feasibility and effectiveness of the proposed approach.  

Key words: risk evaluation, financial leasing, construction machinery industry, multi-attribute