The　concept　of　dual　hesitant　fuzzy　set　arising　from　hesitant　fuzzy　set　is　generalized　by　including　a　function　reflecting　the　decision　maker＇s　fuzziness　about　the　non-membership　degree　of　the　information　provided.　This　paper　studies　some　dual　hesitant　fuzzy　information　aggregation　operators　for　aggregating　dual　hesitant　fuzzy　elements,　such　as　dual　hesitant　fuzzy　Heronian　mean　operator　and　dual　hesitant　fuzzy　geometric　Heronian　mean　operator.　The　research　resulting　dual　hesitant　fuzzy　information　aggregation　operators　finds　an　important　role　in　group　decision　making　(GDM)　applications.　It　can　fusion　the　experts＇　opinion　to　the　comprehensive　ones　and　based　on　which　an　optimal　decision　making　scheme　can　be　determined.　The　properties　of　the　proposed　operators　are　studied　and　the　application　on　GDM　are　investigated.　The　effectiveness　of　the　GDM　method　is　demonstrated　on　the　case　study　about　supplier　selection.