This　article　proposes　a　goal　programming　framework　for　deriving　intuitionistic　fuzzy　weights　from　intuitionistic　preference　relations　(IPRs).　A　new　multiplicative　transitivity　is　put　forward　to　define　consistent　IPRs.　By　analyzing　the　relationship　between　intuitionistic　fuzzy　weights　and　multiplicative　consistency,　a　transformation　formula　is　introduced　to　convert　normalized　intuitionistic　fuzzy　weights　into　multiplicative　consistent　IPRs.　By　minimizing　the　absolute　deviation　between　the　original　judgment　and　the　converted　multiplicative　consistent　IPR,　two　linear　goal　programming　models　are　developed　to　obtain　intuitionistic　fuzzy　weights　from　IPRs　for　both　individual　and　group　decisions.　In　the　context　of　multicriteria　decision　making　with　a　hierarchical　structure,　a　linear　program　is　established　to　obtain　a　unified　criterion　weight　vector,　which　is　then　used　to　aggregate　local　intuitionistic　fuzzy　weights　into　global　priority　weights　for　final　alternative　ranking.　Two　numerical　examples　are　furnished　to　show　the　validity　and　applicability　of　the　proposed　models.　©　2016,　Springer　Science+Business　Media　Dordrecht.