In this paper, a novel fuzzy membership function model is presented based on the feature space.
文章提出了基于特征空间的模糊隶属度函数模型。
A hierarchic classification diagnosis model, based on fuzzy membership grade and rules is being proposed.
提出了一个基于模糊隶属度和规则的分类层次诊断模型。
Based on the calculation of suitable fuzzy membership function, the recognition of true anomalies is improved.
通过模糊从属函数计算，增强了对异常可靠性的识别能力。
Last, we synthesize all local optimal solutions and receive product design scheme through fuzzy membership degree method.
最后通过模糊隶属度的方法将各局部最优方案进行综合，得到一个产品设计方案。
The changing law of symptom value is analyzed and fuzzy normalization method based on fuzzy membership functions is built.
通过分析故障诊断征兆的变化规律，建立了基于模糊隶属函数的诊断征兆模糊化处理方案。
The feasibility of applying theory of rough sets to the identification of fuzzy membership function is confirmed in this paper.
提出应用粗糙集理论辩识模糊隶属函数的可行性。
Second, the method of constructing fuzzy membership function is proposed in image segmentation based on fuzzy mutual information.
其次将模糊互信息量用于图像分割时给出具体隶属度函数的构造；
The precision of fuzzy logic control depends on several parameters, such as fuzzy membership functions and fuzzy relation matrix.
模糊控制的精度取决于有关参数，如隶属函数、模糊关系矩阵。
The target track in the multisensor multitarget tracking fusion contains the fuzzy information which was described by the fuzzy membership function.
多传感器多目标跟踪融合中的目标航迹包含了模糊信息，这种模糊信息可以用模糊隶属度函数来描述。
The multiobjective and design variables with fuzzy features are considered in this paper. Their fuzzy membership functions are formed in fitness patterns.
考虑结构设计变量和多阶固有频率优化目标都具有模糊性，以适当方式形成了它们各自的隶属函数。
The fuzzy membership based on the affinity among samples for support vector machine effectively distinguishes between support vectors and outliers or noises.
将其应用于模糊支持向量机方法中，较好地将支持向量与含噪声或野值样本区分开。
Introducing the novel fuzzy membership model into Adaptive Support Vector Machine (ASVM), we propose an Adaptive fuzzy Support Vector Machine algorithm (AFSVM).
并将新的模糊隶属度模型引入自适应支持向量机，提出了模糊自适应支持向量机算法。
The fuzzy logic was used to describe 3 contours of fuzzy membership on parameter plane. Also fuzzy membership of various cardiovascular statuses could be achieved.
利用模糊数学等方法得到3幅参数平面上的隶属度等势线图，并确定心血管状态的二维隶属度。
The fifth chapter firstly analyzes the synergetic mechanism, and then evaluates the degree of the express enterprise strategy based on DEA and fuzzy membership function.
第五部分，首先对适应性企业战略协同机制进行分析，然后利用数据包络分析方法和隶属度函数对快递企业战略协同度进行了评价。
With the proposed algorithm, the outliers in the image data are described by the negative part in the generalized fuzzy membership function, and can be dealt with effectively.
然后用广义隶属度函数中负的部分来刻划数据中的异常值，使得该算法能有效地处理异常值；
A new fuzzy membership function is defined in the light of requirements of image thresholding which can overcome the influence on segmentation caused by the classical s function.
算法针对图像阈值化分割的要求构造了一种新的模糊隶属度函数，克服了传统s -函数带宽对分割效果的影响。
With the aid of fuzzy membership degree of image, characteristic degree of short crack included in a pixel was proposed, and fuzzy analysis was carried out based on merged images.
借助图像模糊隶属度，对合并图像中像素点具有短裂纹特征的程度进行模糊分析。
A method based on fuzzy theory is applied to explain the classification of SVM and its optimal hyperplane. An expression of fuzzy membership on doubtful classification area is listed.
应用模糊理论的方法对支持向量机分类及最优分类面进行了解释，对可疑分类区列出了模糊隶属度的表达式。
By use of the proposed method the multidirectional property of searching can be ensured and the defect of fuzzy membership algorithm, namely the overlong computing time, can be avoided.
该算法能保证寻优方向的多向性，并能避免模糊隶属度算法耗时过长的缺陷。
Two factors are considered in cluster-validity criterion to enhance the robustness of algorithm and the validity of clustering, one is fuzzy membership and the other is geometric property.
新的目标准则函数考虑了数据集样本的模糊隶属关系和样本几何分布两个方面的因素，使算法的鲁棒性和分类的正确性大大加强。
The fuzzy membership is defined by not only the relation between a sample and its cluster center, but also those among samples, which is described by the fuzzy connectedness among samples.
在确定样本的隶属度时，不仅考虑了样本与类中心之间的关系，还考虑了类中各个样本之间的关系，并采用模糊连接度来度量类中各个样本之间的关系。
In this paper, the fuzzy membership function is built by analysis on design parameters' fuzzy attribution, and optimization values are obtained on the basis of fuzzy aggregate expand theory.
通过对设计参数的模糊分析建立模糊隶属函数，由模糊集合扩展理论求取设计参数的优化值。
A hierarchical adaptive fuzzy control system for an isolated urban traffic intersection is proposed, and an evolution strategy is used to modify the fuzzy membership functions of the system.
提出一种面向城域单交叉路口的自适应分级模糊控制系统，采用进化策略对分级模糊控制器的模糊隶属度函数进行离线优化调整。
It gives each training sample a fuzzy membership property, and embodies the different contribution of training samples for classification result and emphasizes the importance of edge samples.
在训练样本中增加模糊隶属度属性，从而体现训练样本对分类的不同贡献，突出边缘样本的作用。
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.
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。
The fuzzy membership is defined not merely by the distance between a point and its class center, but also by two different points of the sample, which is depicted as the affinity between them.
该方法不仅考虑了样本点到类中心的距离，而且还考虑了样本间的密切度，结合这两种思想在特征空间中构造了一种新的基于动态核函数的模糊隶属度。
The fuzzy membership is defined not merely by the distance between a point and its class center, but also by two different points of the sample, which is depicted as the affinity between them.
该方法不仅考虑了样本点到类中心的距离，而且还考虑了样本间的密切度，结合这两种思想在特征空间中构造了一种新的基于动态核函数的模糊隶属度。
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