Fuzzy　analytic　hierarchy　process　(AHP)　has　been　widely　used　for　a　variety　of　applications　such　as　supplier　selection,　customer　requirements　assessment　and　the　like.　The　vast　majority　of　the　applications,　however,　were　found　avoiding　the　use　of　sophisticated　approaches　for　fuzzy　AHP　such　as　fuzzy　least　squares　method　while　using　a　simple　extent　analysis　for　the　sake　of　simplicity.　The　extent　analysis　proves　to　be　incorrect　and　may　lead　to　a　wrong　decision　being　made.　This　paper　proposes　a　sound　yet　simple　priority　method　for　fuzzy　AHP　which　utilizes　a　linear　goal　programming　(LGP)　model　to　derive　normalized　fuzzy　weights　for　fuzzy　pairwise　comparison　matrices.　The　proposed　LGP　priority　method　is　tested　with　three　numerical　examples　including　an　application　of　fuzzy　AHP　to　new　product　development　(NDP)　project　screening　decision　making.　©　2008　Elsevier　Inc.　All　rights　reserved.