工业工程2012，Vol.15Issue(2)：66-70,5.
基于Choquet模糊积分SVM集成及其实证研究
Choquet-Fuzzy-Integral-Based SVM Ensemble Method and Its Empirical Study
摘要
Abstract
In order to improve the classification performance of the support vector machine (SVM) ensemble methods, a modified SVM ensemble method is put forward by using Choquet fuzzy integral other than Sugeno integral. The proposed method takes the output of every SVM component into account such that it overcomes the drawback of the existing SVM ensemble methods that neglect the secondary information. As an example, based on the data collected in Shandong Province, the proposed method is used to evaluate the performance of social service made by the colleges in the Province. Simulation results show that the proposed method outperforms the existing SVM ensemble methods in the sense of classification performance.关键词
Choquet模糊积分/支持向量机集成/综合评价Key words
Choquet fuzzy integral/ support vector machine ( SVM) ensemble/ comprehensive appraisal分类
信息技术与安全科学引用本文复制引用
倪渊,林健..基于Choquet模糊积分SVM集成及其实证研究[J].工业工程,2012,15(2):66-70,5.基金项目
教育部哲学社会科学研究重大项目(09JZDW001) （09JZDW001）
