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.
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.
以三角模糊数来表示模糊概念，提出一种新的多层多级模糊模式识别模型，并运用该模型对某企业竞争力进行模糊综合评判和模式识别。
It puts forward a new model about multi-hierarchy and multi-pole fuzzy pattern recognition, meanwhile, using this model to comprehensively evaluate and recognize an enterprise competence.
以三角模糊数来表示模糊概念，提出一种新的多层多级模糊模式识别模型，并运用该模型对某企业竞争力进行模糊综合评判和模式识别。
It puts forward a new model about multi-hierarchy and multi-pole fuzzy pattern recognition, meanwhile, using this model to comprehensively evaluate and recognize an enterprise competence.
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