结果表明这种方法可以提高战场目标识别的可靠性，降低识别结果的不确定性。
The result indicates that this method can increase the reliability of the target recognition in the battlefield and reduce the uncertainty of the recognition results.
文中在简单介绍了多传感器信息融合技术的概念之后，详细阐明了D-S证据推理的原理及其应用于战场目标识别的方法，并进行了仿真处理。
The result of the simulation indicates that the mufti-sensor information amalgamation techniques based on D-S evidential theory is an effective method to realize the TI.
从分析侦察手段所处的战场环境入手，将模糊集理论引入单传感器目标识别算法中，提出了基于模糊匹配的单传感器目标识别算法。
The uncertain and its reason of battlefield environment are analyzed. Then Fuzzy Set theory is introduced to the single target identification algorithm.
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