The　main　purpose　of　this　paper　is　to　determine　the　weights　of　attributes　and　decision　makers　(DMs)　in　multi-attribute　group　decision　making　(MAGDM)　with　interval　grey　numbers.　Firstly,　decision　matrices　are　adjusted　using　the　kernels　of　interval　grey　numbers　to　reduce　the　psychological　effects　of　decision　makers.　Additionally,　the　comprehensive　weights　of　attributes　are　obtained　by　aggregating　the　subjective　weights　with　accuracy　attributes.　Then,　the　comprehensive　weights　of　decision　makers　are　determined　by　considering　the　consistency　of　the　decision　makers.　Finally,　a　clustering　approach　of　interval　grey　numbers　is　presented,　and　the　overall　evaluations　are　obtained.