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.