Quality　function　deployment　(QFD)　is　often　implemented　to　transform　customer　requirements　(CRs)　into　the　engineering　design　requirements　(DRs)　of　a　new　product.　Prioritising　engineering　DRs　is　essential　to　reasonably　allocate　resources　for　the　new　product　development,　and　often　must　be　done　under　uncertainty　due　to　the　vagueness　and　impreciseness　of　the　judgments　made　by　customers　and　QFD　team　members,　and　is　a　typical　group　decision　behaviour　that　requires　the　active　participation　of　multiple　customers　and　multiple　QFD　design　team　members.　Fuzzy　set　theory　provides　a　theoretical　basis　for　solving　such　group　decision-making　problems　under　uncertainty.　Existing　approaches　for　prioritising　DRs　under　uncertainty　usually　simplify　the　group　decision-making　problem　as　non-group　decision　making　for　solution　by　simply　aggregating　individuals　opinions　using　their　arithmetic　averages.　This　paper　proposes　a　different　fuzzy　group　decision-making　procedure　for　prioritising　DRs　under　uncertainty.　The　proposed　approach　does　not　aggregate　the　individual　judgments　of　customers　and　QFD　design　team　members,　but　rather　aggregates　the　technical　importance　ratings　of　DRs,　and　can　produce　more　rational　and　robust　priority　rankings　for　DRs　through　fuzzy　normalisation.　A　real　design　case　of　a　flexible　manufacturing　system　(FMS)　is　examined　to　show　the　effectiveness　and　the　potential　applications　of　the　proposed　approach.　Results　are　compared　with　those　obtained　by　two　known　approaches.　©　2012　Copyright　Taylor　and　Francis　Group,　LLC.