关键词: 冲突距离函数, DSmT, DST, 门限, 信息融合

Abstract: 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.

Key words: conflict and distance function, Dezert-Smarandache Theory （DSmT）, Dempster-Shafer Theory （DST）, threshold, information fusion