介绍模糊数学的基本概念，建立了用于缺陷模糊模式识别的两种数学模型，即模糊集法与模糊聚类法。
The concept of fuzzy mathematics is described and two fuzzy pattern recognition models of flaws based on fuzzy set method and fuzzy cluster method have been established.
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.
将模糊模式识别理论模型与级别变量特征值相结合，形成改性模糊模式识别法。
By combining the fuzzy recognition model with the eigenvalues of grade variables, an improved fuzzy recognition model is established.
应用模糊数学中的模糊模式识别建立识别玉米种子品种的数学模型。
The mathematics model of identifying corn breed was established using fuzzy pattern recognition.
针对影响城市道路安全状况的因素众多且具有模糊性的特点，采用模糊模式识别与模糊综合评价相结合的评价模型来评价城市道路安全状况。
Considering the various and vague factors influencing urban road safety, the evaluation model used in the paper is combined by fuzzy pattern recognition and fuzzy comprehensive evaluation models.
对于模糊控制器的模型，定义了模糊集合匹配度和模糊规则匹配度，在此基础上给出了基于模式匹配的模糊控制算法的模型和设计步骤。
The fuzzy set matching degree defiantion and the fuzzy rule matching degree definition were used to develop the model and the design steps.
首先建立了灰关联分析的新的理论模型，然后将其与模糊集理论结合起来，提出了一种模糊灰关联模式识别方法。
And then by combining it with fuzzy theory, a pattern recognition method based on fuzzy grey relation is proposed.
并应用工程模糊集理论，建立了土石坝实测性态多级模糊模式综合评价模型。
Moreover, the comprehensive assessment method for behavior of earth-rockfill dam was established in a multi-pole fuzzy pattern on the basis of applying the theory of engineering fuzzy sets.
本文提出了一种基于模式类特征空间统计分布的模糊隶属度函数模型，可有效地反映模式在特征空间中的真实分布，用于模式分类器输入特征的模糊化可获取更好的识别性能。
In this paper a model of discrete fuzzy membership function based on statistical distribution of features of pattern is presented. It is used for the fuzziness of input features of classifier.
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.
模糊模式识别预先需要有标准脉象模型库，而模糊聚类分析事先没有任何模型参与，全按事物的特征分类。
Fuzzy diagnosis need standard pulse model bank beforehand, while fuzzy cluster analysis is classified by feature without participation of any model.
模糊模式识别预先需要有标准脉象模型库，而模糊聚类分析事先没有任何模型参与，全按事物的特征分类。
Fuzzy diagnosis need standard pulse model bank beforehand, while fuzzy cluster analysis is classified by feature without participation of any model.
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