工业工程

工业工程 ›› 2012, Vol. 15 ›› Issue (2): 66-70.

• 专题论述 • 上一篇    下一篇

基于Choquet模糊积分SVM集成及其实证研究

  

  1. 1.北京航空航天大学 经济管理学院, 北京100191；2.清华大学 教育研究院, 北京100084
  • 出版日期:2012-04-30 发布日期:2012-05-17
  • 作者简介:倪渊（1984-），男，山东省人，博士研究生，主要研究方向为评价理论及应用、人力资源管理.
  • 基金资助:

    教育部哲学社会科学研究重大项目(09JZDW001)

ChoquetFuzzyIntegralBased SVM Ensemble Method and Its Empirical Study

  1. 1.School of Economics and Management, Beijing University of Aeronautics and Astronautics, Beijing 100191, China; 2.Institute of Education, Tsinghua University, Beijing 100084, China
  • Online:2012-04-30 Published:2012-05-17

摘要： 为了进一步提高SVM集成的泛化能力，提出了基于Choquet模糊积分的SVMs集成方法，综合考虑各个子SVM输出重要性，避免了现有SVM集成方法中忽略次要信息的问题。应用该方法，以高校的区域经济贡献度为例进行仿真试验，结果表明基于Choquet模糊积分的SVMs集成方法较基于Sugeno模糊积分SVMs集成方法和基于投票策略的SVMs集成方法具有更高的准确性。该方法是可行、有效的，具有一定的推广价值。

关键词: Choquet模糊积分, 支持向量机集成, 综合评价

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.

Key words: Choquet fuzzy integral, support vector machine (SVM) ensemble, comprehensive appraisal