To improve the precision of target attribute identification, a tracking aided target identification method based on evidence theory is advanced in this paper.

为提高目标属性识别精度，本文以证据理论为基础，提出一种跟踪辅助目标识别方法。

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The former algorithm makes improvements from three aspects: discretization, reducing dimension, attribute selection, which effectively solves the conflict between efficiency and prediction precision.

前者从数据的离散化，降维，和属性选择方面有效的解决了处理大规模高维数据库时的效率与精度之间的矛盾。

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The inheritance and the particularity of the attribute will directly affect the relevance of the concept and decide the precision of the semantic inference of the concept.

属性的继承性和特异性都直接影响概念的关联程度，决定概念语义推理的精度。

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