DSmT与DST融合门限改进方法

Threshold improvement method combining DSmT and DST

Dezert-Smarandache理论(DSmT)是一种能够高效实现多源信息融合,成功处理强冲突证据源的数据融合方法,而Dempster-Shafer理论(DST)在证据源冲突低时的融合效果好,运算代价低。将两种技术结合,在冲突距离函数变化率较低时采取DST证据理论,反之采用DSmT融合算法是一种提高信息融合效率的可行方式。研究人员对DSmT和DST二者的单点值转换门限方法已做了探讨,针对单点值门限方法的不足,提出了将冲突距离函数作为判别依据来确定转换门限的方法。该方法有很强的适应性,根据不同的证据组合,能划分是单点值门限还是多点值门限。

Dezert-Smarandache Theory（DSmT） is a data fusion method,in which high conflicting evidence sources could be successfully handled,to efficiently realize multi-source information fusion.Meanwhile,Dempster-Shafer Theory（DST） can bring a better result with less computational cost on condition that conflicts are low.Therefore,integrating the two methods,the DST evidence theory will be adopted when the conflicts are lower,otherwise the Dezert-Smarandache Theory（DSmT） fusion algorithms will be used,which is a feasible way to raise the efficiency of the information fusion.The method of single-value switching thresholds for DSmT and DST has been proposed.According to the deficiency of the method,this article proposed that the conflict distance function can be regarded as the judgment basis.Thus,the single-value thresholds and the multi-spot value thresholds are distinguishable according to different evidence combinations.