摘要
为了能够减小基于Dezert-Smarandache理论(DSmT)框架的第5条比例冲突分配规则(PCR5)处理含有交多子焦元证据融合问题的计算复杂度并保持较高的精度,本文提出一种多子焦元信度赋值非零情况下的DSmT近似融合推理方法.该方法避免了现有的基于Shafer模型的DSmT近似融合推理方法由于需要预先解耦带来的信息损失,并且不仅适用于Shafer模型也适用于混合Dezert-Smarandache(DSm)模型下部分交多子焦元非冲突且信度赋值非零的情况.仿真实验表明,在不同的情况下,本文方法相比现有的方法,与DSmT+PCR5融合推理方法融合结果相似度更高且计算效率显著提高.
For reducing the computation complexity of the Proportional Conflict Redistribution No.5 （PCR5）with the framework of Dezert-Smarandache Theory （DSmT）for evidence fusion problems of mulitple focal elements and remaining high ac-curacy,a Dezert-Smarandache Theory （DSmT）approximate reasoning method on the condition of non-zero mulitple focal elements is proposed.The method avoids the informaiton loss caused by decoupling of the existed DSmT approximate reasoning method.The information fusion problems of non-zero mulitple focal elements based on not only the Shafer model but the hybrid-Dezert-Smaran-dache （DSm）model can be effectively processed by the proposed method.Finally,simulation results show that in different condi-tions,the proposed method can get more similar results with DSmT ＋PCR5 method and need less computation complexity compared to the existed method.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2015年第10期2069-2075,共7页
Acta Electronica Sinica
基金
国家自然科学基金(No.61102166
No.61471379)
教育部新世纪优秀人才支持计划(No.NCET-11-0872)
