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http://dx.doi.org/10.5391/JKIIS.2007.17.6.799

On the Fuzzy Membership Function of Fuzzy Support Vector Machines for Pattern Classification of Time Series Data  

Lee, Soo-Yong (연세대학교 과학기술대학 컴퓨터정보통신공학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.17, no.6, 2007 , pp. 799-803 More about this Journal
Abstract
In this paper, we propose a new fuzzy membership function for FSVM(Fuzzy Support Vector Machines). We apply a fuzzy membership to each input point of SVM and reformulate SVM into fuzzy SVM (FSVM) such that different input points can make different contributions to the learning of decision surface. The proposed method enhances the SVM in reducing the effect of outliers and noises in data points. This paper compares classification and estimated performance of SVM, FSVM(1), and FSVM(2) model that are getting into the spotlight in time series prediction.
Keywords
SVM; FSVM; Fuzzy Support Vector Machines; Pattern Classification; Time Series Prediction;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 N. Cristianini, An Introduction to Support Vector Machines, Cambridge University Press, 2000
2 E. Spyrou, G. Stamou, Y. vrithis, S. Kollias, Fuzzy support vector machines for image classification fusing MPEG-7 visual descriptors, 2nd European Workshop, Integration of Knowledge, Semantics and Digital Media Technology, 2005
3 V. N. Vapnik, Statistical Learning Theory, Wiley -Interscience Pub., 1998
4 Y. Mao, Multiclass Cancer Classification by Using Fuzzy Support Vector Machine and Binary Decision Tree With Gene Selection, Journal of Biomedicine and Biotechnology, Vol. 2, pp.160-171, 2005
5 H. Xia, B. Q. Hu, Feature selection using fuzzy support vector machines, Fuzzy Optimal Decis Making, vol. 5, pp.187 - 192, 2006   DOI   ScienceOn
6 T. Inoue, S. Abe, Fuzzy support vector machines for pattern classification, Neural Networks Proceedings. Vol. 2, pp. 1449-1454, 2001
7 J. Mill, A. Inoue, An application of fuzzy support vectors, Fuzzy Information Processing Society, NAFIP5. 22nd International Conference of the North American, pp.302- 306, 2003
8 S.Y.Lee, S.Y.Sohn, C.E.Kim, Y.B.Lee, Fuzzy Support Vector Machine for Pattern Classification of Time Series Data of KOSPI200 Index, Journal of Fuzzy Logic and Intelligent Systems, Vol. 14, No.1, pp.52-56, 2004   DOI   ScienceOn
9 S.Y.Lee, A Comparative Study of Model Design and Performance Test in Financial Index Pattern Classification System, Doctoral Thesis, Yonsei University, 2004
10 C. F. Lin, 'Fuzzy Support Vector Machines', IEEE Transactions on Neural Networks, Vol.13, No.2, March 2002
11 S. Abe, Fuzzy LP-SVMs for Multiclass Problems, ESANN'2004 proceedings, pp. 429-434, Bruges (Belgium), 28-30 April 2004
12 Y. Wang, S. Wang, and K. K. La, A New Fuzzy Support Vector Machine to Evaluate Credit Ris, IEEE Transactions on Fuzzy Systems, Vol. 13, No.6, pp. 820-831, 2005   DOI   ScienceOn
13 X. Shi, H.D. Cheng, and L. Hu, Mass Detection and Classification in Breast Ultrasound Images Using Fuzzy SVM, Proceeding of ICIS, 2006
14 F. E. H. Tay, 'Application of support vector machines in financial time series forecasting', Omega 29, pp. 309-317, 2002   DOI   ScienceOn