In　the　application　of　case-based　reasoning　in　multi-objective　evaluation　optimizing　setting　method,　attributes　weights　of　inputs　in　case　retrieval　are　usually　obtained　subjectively,　thus　resulting　in　deterioration　in　accuracy　of　set　points.　To　solve　the　problem,　this　paper　presents　a　retrieval　strategy　based　on　group　decision-making,　in　which,　based　on　groups　of　weights　by　genetic　algorithm,　the　retrieved　set　points　are　optimized　and　determined　by　group　cardinal　utility　function.　So　the　presented　case-based　reasoning　strategy　is　applied　to　multi-objective　evaluation　optimizing　setting　problem.　Simulation　shows　that　the　accuracy　of　set　points　is　improved　by　the　proposed　retrieval　strategy　based　on　group　decision-making.　©　2011　IEEE.