In　view　of　the　uncertainty　and　fuzziness　of　the　parameters　of　the　evaluation　for　transformer　oil-paper　insulation　condition,　an　evaluation　model　based　on　fuzzy　matter　element　and　technique　for　order　preference　by　similarity　to　ideal　solution　(TOPSIS)　is　proposed　for　the　oil-paper　insulation　condition.　Firstly,　the　characteristics　were　extracted　by　equivalent　circuit　parameters,　return　voltage　method　and　polarization　depolarization　current　method　respectively.　The　index　system　of　transformer　oil-paper　insulation　condition　evaluation　is　accordingly　established.　Secondly,　the　fuzzy　value　is　calculated　by　the　preferred　subjection　degree　of　the　characteristics,　which　is　represented　by　fuzzy　matter　element.　Then,　the　combination　weight　coefficient　of　the　characteristics　is　determined　from　the　subjective　and　objective　aspects　respectively　by　using　analytic　hierarchy　process　(AHP)　and　entropy　weight　method.　Lastly,　using　TOPSIS　method,　the　oil-paper　insulation　condition　is　evaluated　by　assessing　the　closeness　degree　of　the　transformer　and　the　positive　ideal　solution.　The　results　show　the　objectivity　and　accuracy　of　the　proposed　model　for　transformer　oil-paper　insulation　condition　evaluation.　©　2018,　Electrical　Technology　Press　Co.　Ltd.　All　right　reserved.