This paper deals with the recognition of target and decoy. D S evidence combination method is applied to recognize target and decoy.
本文以目标和诱饵的识别为背景、详细叙述了D-S证据结合方法的原理、融合模型和识别结果；
We use a parallel and with feedback fusion system architecture, cascade D-S evidence theory to be fusion algorithm. Finally, a graphic target recognition system is realized.
系统采用有反馈的全并行融合系统结构，以分级式d S证据推理为数据融合算法，最终实现一个图形化的目标识别系统。
In the D-S evidence theory, its necessary to obtain the basic probability assignment function of all kinds of evidence in order to carry on target recognition.
S证据理论中，进行目标识别需要获取各项证据的基本概率分配函数。
This article selects the theory based on the rough collection of data mining method and the D-S evidence theory to carry on the target recognition of multi-sensors.
本文选用基于粗糙集理论的数据挖掘方法和D - S证据理论对多传感器信息进行综合识别。
This article selects the theory based on the rough collection of data mining method and the D-S evidence theory to carry on the target recognition of multi-sensors.
本文选用基于粗糙集理论的数据挖掘方法和D - S证据理论对多传感器信息进行综合识别。
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