For　the　multiple　attributive　group　decision　making　problems,　a　new　method　for　group　multi-criteria　decision　making　with　incomplete　information　is　proposed.　The　alternative＇s　evaluation　values　under　subject　attribute　are　interval　numbers　which　are　to　express　the　incompleteness　and　vagueness　of　the　decision　maker.　For　each　subjective　attribute,　a　weight　value　vector　is　set　to　express　the　opinion＇s　important　degree　of　each　expert　in　different　area　while　the　similarity　of　the　expert＇s　opinion　is　also　taken　into　account.　The　alternatives　are　ranked　by　the　similarity　degrees　of　each　alternative　to　ideal　solution.　At　last,　a　numerical　example　is　put　forward　to　illustrate　the　method.