摘要
分析现有的证据权重确定方式存在的缺陷,在此基础上提出了一种新的改进算法。利用各证据与平均证据的相似系数求出证据的初始权重;把权重低于阈值的证据从证据组中剔除,计算剩余证据的权重,经K次迭代,直到所有证据的权重都大于阈值;最后将K次权重算术平均得到各证据的最新权重系数,对证据加权平均后再利用D-S组合规则进行组合。通过算例比较表明该方法的合成结果更加有效。
We analyzed the defects of the existing way to determine the weight of evidence,and gave a new modified method based on the present method.It calculated the evidence primary weight via similarity between evidence and average evidence.When the weight value is less than the threshold value,the evidence is removed from evidence group,and the weight of remaining evidence is calculated.By Kiterations,until all the evidence weight is higher than the threshold value,arithmetic average value of Kevidence weights is calculated.Finally,D-S combination rules is used to combine the weighted average evidence.An example indicates that the new method can give the more reasonable combination results compared with D-S combination rule and other modified methods.
出处
《计算机科学》
CSCD
北大核心
2016年第S1期93-94,共2页
Computer Science
关键词
冲突证据
平均证据
证据权重
组合规则
Conflict evidence
Average evidence
Evidence weight
Combination rules