中山大学学报（自然科学版）Issue(6)：155-158,4.
基于直方图的mass函数构造方法
A Mass Function Construction Method Based on Histogram
摘要
Abstract
A method based on the histogram of the sample feature distribution is presented to construct the mass function,for the problem of pattern recognition using the multi-feature fusion.Firstly,the sam-ple feature distribution is established.In the overlapping area of the histogram,the feature is uncertain;while in the no-overlapping area of the histogram the feature is determinate.Then,for a new object,if one of its features falls into the overlapping region of the histogram,the mass function constructed by this feature has a larger uncertainty;if the feature falls into non-overlapping region of the histogram,the mass function constructed by this feature has a greater certainty.The mass functions of different features are fused to get the fusion result.The correct ratio of the iris-plant classify experiment is 96.64%,and the result shows that this method is feasible.关键词
证据理论/基本概率赋值函数/直方图Key words
evidence theory/basic probability assignment function/histogram分类
计算机与自动化引用本文复制引用
李文艺,刘春,李彪..基于直方图的mass函数构造方法[J].中山大学学报（自然科学版）,2014,(6):155-158,4.基金项目
国家杰出青年自然科学基金资助项目（61300035）；宿州学院科研启动基金资助项目 （）
