This　paper　studies　weight　adjustment　in　multiple　attributes　group　decision　making　model.　Firstly,　the　attribute　weights　respectively　calculated　by　methods　of　AHP　and　entropy　are　optimized　based　on　objective　programming　model.　Secondly,　the　initial　weights　of　decision-makers　are　updated　by　the　grey　correlation　degree　between　the　individual　decision　results　and　the　group　decision　results.　Furtherly,　the　group　decision　results　are　updated.　Then　the　weight-　adjusting　is　continued　on　the　basis　of　the　new　group　decision　results.　Based　on　2-Norm　Minkowski　measure,　the　steady　weights　of　decision-makers　and　final　results　of　the　group　are　gotten　with　the　process　of　adjustment.　Finally,　a　numerical　example　to　evaluate　wind　power　equipment　supplier　shows　the　feasibility　and　practicability　of　the　proposed　algorithm.