The Analysis of Sporopollen Data Based on Fuzzy Mathematics

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Abstract:

This paper analyzes the sporopollen samples based on the transitive closure method of fuzzy equivalent relation and gets the classification results, while using the F statistic gives the best classification result, and determines its ownership of an unknown class sample by taking advantage of fuzzy pattern recognition methods.

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2597-2601

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September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Zadeh L A. Fuzzy Sets. Information and Control. 1965, 8(1): 338~353.

Google Scholar

[2] Wu Z, Leathy R. An optimal graph theoretic approach to data clustering: theory and its application to image segmentation. IEEE PAMI, 1993, 15(11): 1101~1113.

DOI: 10.1109/34.244673

Google Scholar

[3] J.C. Bezdek. A Convergence Theorem for the Fuzzy ISODATA Clustering Algorithms. IEEE Trans. Pattern Anal. Machine Intell. 1980, 2(1): 1~8.

DOI: 10.1109/tpami.1980.4766964

Google Scholar

[4] Yang Lunbiao, Gao Yingyi. Fuzzy Mathematics Principle and Application. Guangzhou: Huanan University of Science and Technology publishing house. (2004).

Google Scholar

[5] Xie Jijian, Liu Chengping. Fuzzy Mathematics Method and Application. Wuhan: Huazhong University of Science and Technology publishing house. (2005).

Google Scholar

[6] He Qing: Fuzzy Clustering Analysis Theory and Applied Research Progress. Fuzzy System and Mathematics. 1998, 12(2):89~94.

Google Scholar