To improve the precision of evidence fusion and simplify its computation, a grouping method for combining
evidence is proposed to take the advantages of sequence fusion and batch fusion. Firstly, the proposed method judges
whether the pieces of evidence can be combined by using Dempster rule of combination. If the pieces of evidence are
judged to be fused with Dempster rule of combination, they will be put into the same group. Otherwise, they will be put
into different groups. The evidence in the same group is combined directly with Dempster rule of combination, which
forms sequence fusion within groups. For the evidence in different groups, an optimization model is developed to modify
the evidence, and then combined with Dempster rule of combination, which forms batch fusion among groups. Numerical
examples are provided to demonstrate the advantages of the proposed method, such as less computation, better stability and
higher precision.