This　paper　proposes　a　correlation　coefficient　(CC)　and　standard　deviation　(SD)　integrated　approach　for　determining　the　weights　of　attributes　in　multiple　attribute　decision　making　(MADM)　and　a　global　sensitivity　analysis　to　the　weights　determined.　The　CCSD　integrated　approach　determines　the　weights　of　attributes　by　considering　SD　of　each　attribute　and　their　CCs　with　the　overall　assessment　of　decision　alternatives,　where　CCs　are　determined　by　removing　each　attribute　from　the　overall　assessment　of　decision　alternatives.　If　the　CC　for　an　attribute　turns　out　to　be　very　high,　then　the　removal　of　this　attribute　has　little　effect　on　decision　making;　otherwise,　the　attribute　should　be　given　an　important　weight.　The　global　sensitivity　analysis　to　the　weights　of　attributes　is　proposed　to　ensure　the　stability　of　the　best　decision　alternative　or　alternative　ranking.　A　numerical　example　about　the　economic　benefit　assessment　of　the　industrial　economy　of　China　is　investigated　to　illustrate　the　potential　applications　of　the　CCSD　method　in　determining　the　weights　of　attributes.　Comparisons　with　existing　weight　generation　methods　are　also　discussed.　(C)　2009　Elsevier　Ltd.　All　rights　reserved.