桂林电子科技大学学报2017，Vol.37Issue(4)：317-321,5.
改进的基于Pignistic概率距离的证据组合方法
An improved combination method based on Pignistic probability distance
摘要
Abstract
Aiming at the shortcoming in the inaccurate measurement of the conflictive degree and slow convergence rate a-mong the existing algorithm of DS evidence,the concept of expectation of evidence set and one rule of evidence fusion based on Pignistic probability distance are presented.The extent of conflict between two evidences is characterized by using the av-erage value of collision coefficient and Pignistic probability distance.By calculating the weight of the importance degree of each evidence,the expectation of the evidence set is obtained.As the feedback of the existing evidence set,the expectation is used to replace the lowest correlation of evidence in evidence set.All evidence is combined in modified evidence set with DS rule.The numerical examples verify that the improve combination rule can identify and eliminate interference evidence to re-duce conflict and accelerate the convergence rate of the system effectively.关键词
证据融合/冲突度量/Pignistic概率距离/证据集期望/反馈Key words
evidence fusion/conflict measure/Pignistic probability distance/expectation of evidence set/feedback分类
信息技术与安全科学引用本文复制引用
李民政,蓝剑平..改进的基于Pignistic概率距离的证据组合方法[J].桂林电子科技大学学报,2017,37(4):317-321,5.基金项目
国家自然科学基金(61362007) （61362007）
广西信息科学实验中心基金(YB1407) （YB1407）
广西可信软件重点实验室基金(KX201414) （KX201414）
