The　selection　of　third　party　logistics　(3PL)　providers　is　an　important　issue　for　enterprises　to　outsource　their　logistics　business.　In　this　paper,　a　new　integrated　model　is　put　forward　for　selecting　3PL　providers　based　on　support　vector　machine　(SVM)　and　fuzzy　analytic　hierarchy　process　(FAHP).　In　the　first　stage,　the　support　vector　machine　(SVM)　is　used　to　classify　the　primary　3PL　provider　samples　into　four　types　which　are　excellent,　good,　medium　and　bad　respectively.　Then　we　can　obtain　the　excellent　samples　which　are　the　candidates　for　the　second　stage　selection.　In　the　second　stage,　the　FAHP　is　used　to　evaluate　the　selected　excellent　samples　in　the　first　stage,　so　we　can　obtain　the　sorting　results　for　the　excellent　samples　and　the　optimal　samples.　The　results　of　the　case　study　show　that　the　model　is　reasonable　and　effective　and　it　can　provide　an　important　reference　for　enterprises　to　select　3PL　providers.