在多级模糊模式识别模型的基础上 ，提出了一种改进的多级模糊模式识别方法。

This paper extracts visible features, and uses multi -features fuzzy pattern recognition to create subjection function in order to judge the relationship by statistic data.

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通过分析对象属性间的关系，提出了一种基于改进的多级模糊模式识别的分类方法。

By analysing the relation among object attribute, this paper introduced a classification method based on improved multiple fuzzy pattern recognition.

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第一层和第二层的输出采用二级模糊模式识别模型计算，第三层的输出采用多级模糊模式识别模型计算。

The outputs of the first and second layers are both calculated by duel-pole fuzzy pattern recognition models, and that of the third is by multi-pole fuzzy pattern recognition model.

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