计算机应用研究2016，Vol.33Issue(11)：3345-3348,4.DOI:10.3969/j.issn.1001--3695.2016.11.032
高斯模糊积分及其在癌症诊断中的应用
Gaussian fuzzy integral and application on cancer diagnosis
摘要
Abstract
The classical fuzzy integral projects the data from high dimensional space into one dimensional space along a group of straight lines.In reality,the classical projection lines cannot cover the data with irregular distribution.This paper proposed a new fuzzy integral using Gaussian function as integrand which was called as Gaussian fuzzy integral (GFI).The projection with GFI could cover the most data along the Gaussian curves.It constructed a new classifier based on the Gaussian fuzzy inte-gral and applied it to several benchmark datasets for testifying the performance.The results show that GFI can work better with FI’s characteristics and has better classification accuracy than classical FI.Finally,used GFI to classify the hepatitis B virus (HBV)gene data for cancer diagnosing.It selected all cases from the Wales Hospital of Hong Kong which included real can-cer patients and uncertain ones.It tried to discern these cases clearly.The results show that GFI has optimal testing sensitivity for diagnosis.This index is more important for medicals than accuracy,which means it doesn’t hope to miss any real patients as more as possible.关键词
模糊积分/高斯函数/分类模型/高斯模糊积分/癌症诊断Key words
fuzzy integral/Gaussian function/classification model/Gaussian fuzzy integral/cancer diagnosis分类
信息技术与安全科学引用本文复制引用
王金凤,田绪红,王希,王文中..高斯模糊积分及其在癌症诊断中的应用[J].计算机应用研究,2016,33(11):3345-3348,4.基金项目
国家自然科学基金青年基金资助项目（61202295）；广东省公益研究与能力建设资助项目 （）
