Decision-making using traditional methods for simulation credibility evaluation is based on the hypothesis of
independence between indicators. This hypothesis does not conform to the actual condition of simulation credibility
evaluation. Therefore, a new algorithm is proposed to identify 2-additive fuzzy measures based on the swing weighting
and proportion criteria. The correctness of the algorithm is proved. Then, based on the identified 2-additive fuzzy measures,
simulation credibility is obtained by using Choquet integral to aggregate the evaluation information. Finally, an example is
given to validate the effectiveness of the proposed approach.