Open AccessSet Pair Analysis based on Similar Forecast model of Civil car ownership
Author(s) -
Sun Wei,
Ren-teng Yuan,
Su Shuaijie,
Zhongyu Wang
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/371/2/022060
Subject(s) - similarity (geometry) , set (abstract data type) , value (mathematics) , mathematics , econometrics , statistics , car ownership , meaning (existential) , computer science , engineering , transport engineering , artificial intelligence , psychology , public transport , image (mathematics) , psychotherapist , programming language
It shows the important meaning that the accurate prediction of civil car ownership. The most important factor of civil car ownership are gotten from set pair analysis and correlation coefficient. Set pair analysis method can be used to quantificationally compute the similarity between main physics vectors from the view of identical, different and opposite sides. According to the weighted average of relative membership degree, obtain the set pair analysis based on similarity forecast model of civil car ownership, named SPA-SF. The forecast result of civil car ownership of 2015-2017 show that SPA-SF has certain application value in the prediction of civil car ownership.