DocumentCode :
724400
Title :
The study of the refined oil price trend based on AHP and GM method
Author :
Chengpeng Li ; Yunsheng Miao ; Rui Sun ; Zhongbo Sun
Author_Institution :
Dept. of Math., Northeast Normal Univ., Changchun, China
fYear :
2015
fDate :
23-25 May 2015
Firstpage :
4430
Lastpage :
4434
Abstract :
Based on the data about factors affecting Chinese refined oil price in 10 years, using a variety of methods to filter data such as multiple linear regression, gray analysis and Analytic hierarchy process, we will get the main factors. Use SPSS software to establish mathematical model and predict the future prices of refined oil using the gray analysis.
Keywords :
analytic hierarchy process; grey systems; petroleum industry; pricing; regression analysis; AHP method; GM method; SPSS software; analytic hierarchy process; gray analysis; multiple linear regression; refined oil price trend; Economic indicators; Eigenvalues and eigenfunctions; Indexes; MATLAB; Mathematical model; Predictive models; Sun; Analytic hierarchy process; Grey forecasting model; SPSS software;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
Type :
conf
DOI :
10.1109/CCDC.2015.7162654
Filename :
7162654
Link To Document :
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