To　address　the　environmental　cost　planning　problem　in　transportation　industry,　an　environmental　management　cost　prediction　model　by　data　envelopment　analysis　(DEA)　and　extended　belief　rule-based　(EBRB)　system　is　proposed.　The　historical　environmental　input-output　data　is　analyzed　by　the　DEA　model　and　applied　for　the　reliability　quantization　of　each　rule;　and　an　EBRB　model　that　considers　the　rule　reliability　is　established　for　environmental　governance　cost　prediction　of　transportation　industry.　Finally,　based　on　the　data　of　transportation　industry　environmental　management　from　2004　to　2017　to　verify　the　accuracy　of　the　proposed　model,　and　the　results　showed　that　the　proposed　model　has　higher　accuracy　than　the　existing　cost　prediction　models.　The　investigation　of　this　study　can　provide　model　support　and　reference　for　decision-makers.　Copyright　©　2020　by　Science　Press.