The　cyber-physical-social　system　(CPSS)　is　a　three-layer　system　framework　that　combines　the　human　society　on　the　basis　of　the　cyber-physical　system　(CPS),　so　that　the　human　society,　the　cyber　world　and　the　physical　world　are　interconnected.　In　the　CPSS,　similar　profile　attributes　are　matched　to　socialize　and　ultimately　achieve　the　purpose　of　information　sharing.　However,　some　personal　information　may　be　included　in　the　profile　attributes,　thus　the　users＇　privacy　cannot　be　protected　during　the　process.　To　meet　this　challenge,　a　privacy-preserving　profile　matching　scheme　based　on　private　set　intersection　is　proposed　in　this　paper.　Multi-tag　is　utilized　to　partition　the　dataset　of　users　to　achieve　fine-grained　profile　matching.　In　addition,　the　privacy　of　users　is　protected　by　re-encryption　technique.　Security　analysis　shows　that　our　scheme　is　secure　against　the　semi-honest　adversary　and　theoretical　analysis　of　the　experiment　shows　that　that　the　scheme　is　efficient　for　profile　matching　in　the　CPSS.