Combining principal component analysis and fuzzy cluster analysis for China's oil security

Wang, JZ; Zhu, SL; Sun, DH; Lu, HY

Combining principal component analysis and fuzzy cluster analysis for China's oil security

Wang, JZ Zhu, SL Sun, DH Lu, HY

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Publication Type:: Conference Proceeding
Citation:: IET Seminar Digest, 2008, 2008 (3), pp. 287 - 292
Issue Date:: 2008-12-01

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Field	Value	Language
dc.contributor.author	Wang, JZ	en_US
dc.contributor.author	Zhu, SL	en_US
dc.contributor.author	Sun, DH	en_US
dc.contributor.author	Lu, HY https://orcid.org/0000-0001-5655-0237	en_US
dc.date.issued	2008-12-01	en_US
dc.identifier.citation	IET Seminar Digest, 2008, 2008 (3), pp. 287 - 292	en_US
dc.identifier.isbn	9780863419133	en_US
dc.identifier.uri	http://hdl.handle.net/10453/11953
dc.description.abstract	It is significant to evaluate the situations of oil security for taking national oil security measures, because very important relationships exist between the oil security and the national security. A novel combined method is presented in this paper, which is based on using principal component analysis (PCA) and fuzzy cluster analysis (FCA) modeling. It is used for assessing oil security. In this paper, the data of 13 years is taken as sample and 10 indexes are selected to constitute an evaluation system for oil security. PCA is used for reducing the dimensions of indexes, and the new indexes are formed for oil security. Then FCA is used for classifying the 13 samples. At last a dialed analysis is made and some suggestions are put forward to ensure oil security. © 2008 IET.	en_US
dc.relation.ispartof	IET Seminar Digest	en_US
dc.relation.isbasedon	10.1049/ic:20080300	en_US
dc.title	Combining principal component analysis and fuzzy cluster analysis for China's oil security	en_US
dc.type	Conference Proceeding
utslib.citation.volume	3	en_US
utslib.citation.volume	2008	en_US
utslib.for	0914 Resources Engineering and Extractive Metallurgy	en_US
dc.location.activity	Xiamen, China	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.issue	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	2008	en_US

Abstract:

It is significant to evaluate the situations of oil security for taking national oil security measures, because very important relationships exist between the oil security and the national security. A novel combined method is presented in this paper, which is based on using principal component analysis (PCA) and fuzzy cluster analysis (FCA) modeling. It is used for assessing oil security. In this paper, the data of 13 years is taken as sample and 10 indexes are selected to constitute an evaluation system for oil security. PCA is used for reducing the dimensions of indexes, and the new indexes are formed for oil security. Then FCA is used for classifying the 13 samples. At last a dialed analysis is made and some suggestions are put forward to ensure oil security. © 2008 IET.

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