The　aim　of　this　paper　is　to　develop　a　new　methodology　for　solving　group　decision　making　problems　in　which　preference　comparisons　between　alternatives　are　expressed　with　Atanassov＇s　intuitionistic　fuzzy　(IF)　preference　relations.　In　this　methodology,　the　generalized　ordered　weighted　averaging　(GOWA)　operator　is　extended　to　develop　the　Atanassov＇s　IF　set　(IFS)　generalized　ordered　weighted　averaging　(IFSGOWA)　operator,　which　can　aggregate　vague　or　imprecise　information　expressed　with　the　Atanassov＇s　IFSs.　The　Atanassov＇s　IFSGOWA　operator　based　methodology　is　further　developed　to　solve　group　decision　making　problems　with　Atanassov＇s　IF　preference　relations.　A　real　example　of　the　agroecological　region　assessment　problem　is　used　to　illustrate　the　implementation　and　applicability　of　the　proposed　methodology.　It　is　also　shown　that　the　obtained　decision　results　could　be　affected　by　the　choice　of　the　parameter　lambda　and　the　nature　of　the　weights.　©　2010　World　Scientific　Publishing　Company.