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中文摘要：
DSmT是一种有用的不确定推理方法，能较好地解决强冲突情况下的信息融合问题。由于其在组合规则方面存在不足，影响了DSmT的应用。提出了一种新的合成方法，即在保留冲突焦元的基础上对支持证据冲突的概率进行重新分配。仿真分析表明，新的合成公式提高了目标识别的准确性，对于高度冲突的证据，也能够取得理想的合成结果。
英文摘要：
DSmT is a useful method for dealing with uncertainty problems. It is more efficient in combining conflicting evidences therefore it has been successfully applied in data fusion and object recognition. However, there exist shortcomings in its combination rule. This paper presents an efficient combination rule, that is, the evidence＇s conflicting probability is distributed to every proposition based on remaining the focal elements of conflict. Experiments show that the new combination rule improves the reliability and rationality of the combination results. Although evidences conflict another one highly, good combination results are also obtained.
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