A New Algorithm for Fuzzy Density in Classifiers Fusion

摘要：

Fuzzy Integral is a valid method which can decrease the uncertainty of making decision. During this researching field how to get the Fuzzy Density is a difficult problem, and is also a hotspot. This paper brings forward a new algorithm to determine Fuzzy DensityCompared with the existing algorithms this method The emulational result testifies its validity.

关键词： fusion of classifiers fuzzy integral Fuzzy measure fuzzy density

作者: Zhizhou KONG Lai WEI Shenggang YANG Dong GUAN Zixing CAI

作者单位: College of Statistics Hunan University Changsha,China College of finance Hunan University Changsha,China College of Information Science and Engineer Central South University Changsha,China

会议类型: 国际会议

会议名称: The 2nd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2008)(第二届生物信息与生物医学工程国际会议)

会议地点: 上海

会议语种:英文

页码: 1920-1922

在线出版日期: 2008-05-16（万方平台首次上网日期，不代表论文的发表时间）