Supplier　selection　is　vital　for　enterprises　to　operate　stably　and　achieve　and　sustain　a　competitive　advantage.　However,　from　the　initial　establishment　to　the　gradual　development　and　maturity　of　the　enterprise,　the　supplier　selection　criteria　change　dynamically,　and　decision-makers　are　hardly　in　agreement　in　each　stage,　which　creates　challenges　for　enterprises　when　choosing　suitable　suppliers.　As　such,　this　paper　proposes　a　multicriteria　group　decision-making　method　based　on　an　interaction　and　feedback　mechanism　(IFM)　and　q-rung　orthopair　fuzzy　sets　theory.　We　introduce　an　IFM　to　achieve　consensus　among　different　decision-makers.　We　then　develop　the　q-rung　orthopair　fuzzy　weighted　partitioned　Bonferroni　mean　(q-ROFWPBM)　operator　to　address　the　aggregation　problem　of　dynamic　multicriteria.　A　group　decision-making　algorithm　combining　the　IFM　and　q-ROFWPBM　operator　is　proposed　to　analyze　the　Hongxing　Erke　supplier　selection.　The　results　show　that　the　proposed　method　can　not　only　account　for　large　differences　of　opinion　among　decision-makers　during　group　decision-making　but　also　consider　the　dynamic　changes　of　supplier　selection　criteria　in　different　stages　of　enterprise　development　and　help　enterprises　choose　suppliers　suitable　for　their　own　development　characteristics.