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《Journal of Computer Applications》 2007-11
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Fuzzy support vector machine algorithm with dual membership

HUANG Ying,LI Wei,LIU Fa-sheng(Faculty of Information Engineering,Jiangxi University of Science and Technology,Ganzhou Jiangxi 341000,China)  
Based on traditional fuzzy support vector machine(FSVM),a new fuzzy support vector machine,dual membership fuzzy support vector machine(DM-FSVM),was presented.There is only one membership in traditional support vector machine(SVM)model;however,there are two memberships in DM-FSVM.This method not only keeps the advantages of traditional FSVM,but also makes full use of limited data and improves the classification efficiencies.Experiments show that DM-FSVM improves the classification accuracy.
【Fund】: 江西省自然科学基金资助项目(0411046);; 江西省高性能计算技术重点实验室资助基金项目(JXHC220052003);; 江西省科技厅工业攻关项目(赣财教[2005]132号)
【CateGory Index】: TP181
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