DETERMINE FUZZY MEASURES IN MULTIPLE CLASSIFIERS FUSION MODEL

摘要：

In finite set, Choquet fuzzy integral with respect to fuzzy measures can be transferred into linear combination of product, based on this fact we can choose standard optimization technical to determine fuzzy measures. This paper present linear programming and quadratic programming to determine fuzzy measures, the experiments demonstrate that classification accuracy of fuzzy integral with respect to fuzzy measure is better than the classification accuracies of majority voting and weighted average.

关键词： Fuzzy measure Fuzzy integral Multiple classifiers Majority voting Weighted average

作者: JUN-FEN CHEN MEI-FANG GUO HUI-MIN FENG SHI-XIN ZHAO

作者单位: Machine Learning Center, Faculty of Mathematics and Computer Science, Hebei University, Baoding, 071 College of Mathematics and Physics, Shijiazhuang University of Economics,Shijiazhuang, 050031,China Department of Mathematics and Physics, Shijiazhuang Railway Institute,Shijiazhuang, 050031, China

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 2204-2207

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）