Combining Principal Component Analysis and Fuzzy Cluster Analysis for Chinas Oil Security

Publisher:
American Publishing Association of Technology and Education
Publication Type:
Conference Proceeding
Citation:
Proceedings of the 2008 2nd International Symposium on Information Technologies and Applications in Education (ISITAE2008), 2008, pp. 287 - 292
Issue Date:
2008-01
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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.
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