In　view　of　the　uncertainties　existing　in　the　transformer　oil-paper　insulation　evaluation　index　and　the　ambiguity　of　the　evaluation　criteria,　a　combination　of　set-pair　analysis　and　fuzzy　set　combination　method　is　proposed　to　apply　the　multivariate　fuzzy　connection　degree　model　to　the　evaluation　of　transformer　oil-paper　insulation　status.　Firstly,　three　new　features　of　insulation　aging　quantities　are　extracted　based　on　the　analysis　of　depolarization　current　spectrum,　and　combined　the　transformer’s　measured　data　for　statistical　analysis　to　establish　the　nine　aging　evaluation　indexes　system　for　transformers,　and　determine　the　three　levels　of　evaluation　criteria　based　on　fuzzy　C-means　clustering(FCM)algorithm.　Then,　the　same-and-backward　analysis　is　used　to　construct　the　connection　degree　expressions　of　each　evaluation　index　and　the　evaluation　grade　standard,　a　combination　weighting　method　with　subjective　weight　and　objective　weight　is　also　introduced　and　the　data　mining　method　is　used　for　difference　degree　information　to　determine　the　combination　contact　degree.　Finally,　according　to　the　level　of　the　maximum　combination　degree　of　connection　as　a　set　pair　analysis　results,　the　example　results　verify　that　the　multivariate　fuzzy　connection　degree　model　can　effectively　and　accurately　evaluate　the　transformer　oil-paper　insulation　state　and　has　promotion　and　application　value.　©　2020,　Xi＇an　High　Voltage　Apparatus　Research　Institute　Co.,　Ltd.　All　right　reserved.