Method for simulation credibility evaluation based on 2-additive fuzzy measures

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.