Environmental Management Cost Prediction by Data Envelopment Analysis and Extended Belief Rule-based System for Transportation Industry - Details

author：

Ye, Fei-Fei (Ye, Fei-Fei.) ^[1] | Yang, Long-Hao (Yang, Long-Hao.) ^[2] (Scholars：杨隆浩) | Wang, Ying-Ming (Wang, Ying-Ming.) ^[3] (Scholars：王应明) | Lan, Yi-Xin (Lan, Yi-Xin.) ^[4] (Scholars：蓝以信)

Indexed by：

EI Scopus PKU CSCD

Abstract：

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.

Keyword：

Cost benefit analysis Costs Data envelopment analysis Decision making Environmental management Forecasting Information management Predictive analytics Systems engineering

Community：

[ 1 ] [Ye, Fei-Fei]Decision Sciences Institute, Fuzhou University, Fuzhou; 350116, China
[ 2 ] [Yang, Long-Hao]Decision Sciences Institute, Fuzhou University, Fuzhou; 350116, China
[ 3 ] [Wang, Ying-Ming]Decision Sciences Institute, Fuzhou University, Fuzhou; 350116, China
[ 4 ] [Wang, Ying-Ming]Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou; 350116, China
[ 5 ] [Lan, Yi-Xin]Decision Sciences Institute, Fuzhou University, Fuzhou; 350116, China

Reprint 's Address：

王应明
[wang, ying-ming]decision sciences institute, fuzhou university, fuzhou; 350116, china;;[wang, ying-ming]key laboratory of spatial data mining & information sharing of ministry of education, fuzhou university, fuzhou; 350116, china

Email：

msymwang@hotmail.com

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