重庆邮电大学学报（自然科学版）2017，Vol.29Issue(3)：421-426,6.DOI:10.3979/j.issn.1673-825X.2017.03.022
基于相似系数和Jaccard系数矩阵的证据冲突度量方法
Evidence conflict measurement method based on similarity coefficient and Jaccard matrix
摘要
Abstract
Aiming at the open issue that the classical conflict coefficient and Jousselme distance measure can not correctly judge the conflict evidence,a new measurement of conflict was presented based on the definition of similarity coefficient and Jaccard matrix.By calculating the similarity coefficient between the evidence and the Jaccard coefficient matrix,the similarity coefficient is transformed into the conflict degree of the evidence.Theoretic proof and numreical examples verify the efficiency of the proposed measurement.A typical example is analyzed and compared with other methods.It has been shown by comparison with other methods that the proposed measurement is more accurate to measure evidence conflict.关键词
D-S证据理论/冲突度量/相似系数/Jaccard系数矩阵Key words
D-S evidence theory/conflict measurement/similarity coefficient/Jaccard coefficient matrix分类
信息技术与安全科学引用本文复制引用
孟晨晨,肖建于,罗兰..基于相似系数和Jaccard系数矩阵的证据冲突度量方法[J].重庆邮电大学学报（自然科学版）,2017,29(3):421-426,6.基金项目
国家自然科学基金(61102117)The National Natural Science Foundation of China(61102117) （61102117）
