The purpose of this work is to address a new multi-attribute decision making evaluation model for uncertain traffic pollution control program, by considering the preference of each decision maker to different programs. An interval mapping function was introduced to specify the risk attitudes of the decision maker, which can dissect the original problem to decision problems of traditional values. The proposed model can quantitatively analyze how the risk attitudes of the decision makers affect efficiency ranking for different plans. Case studies performed on the four plans showed that the optimistic ranking of the four plans is the same as that of the neutral situation, but there is a significant difference with the results of pessimistic situation,