计算机应用研究2016，Vol.33Issue(10)：2985-2987,3044,4.DOI:10.3969/j.issn.1001-3695.2016.10.026
基于迭代合成的D-S证据理论改进方法
Improved method to D-S evidence theory based on iterative synthesis
摘要
Abstract
According to discount factor can not accurately measure the importance of the evidence and only once a synthesis is not precise enough problems of D-S theory,this paper proposed an improved algorithm which based on iterative synthesis.This method used a composite discount factor to measure the importance of evidence,and constantly revised it by using the fusion result,it got the final fusion result through multiple iterations.Simulation examples prove that the method has good fusion effect,the number of iteration will not rapidly increase with the upgrading of integration,nor with the increasing of evidence scale,it indicates that the algorithm is effective,stable and scalable,it is suitable for large-scale evidences fusion.关键词
证据理论/合成规则/冲突证据/折扣因子/迭代Key words
evidence theory/combination rules/conflicting evidences/discount factor/iteration分类
信息技术与安全科学引用本文复制引用
胡海亮,钟求喜,刘浏..基于迭代合成的D-S证据理论改进方法[J].计算机应用研究,2016,33(10):2985-2987,3044,4.基金项目
国家自然科学基金资助项目（61202482）；国家“863”计划资助项目 （）
