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。
Introducing the novel fuzzy membership model into Adaptive Support Vector Machine (ASVM), we propose an Adaptive fuzzy Support Vector Machine algorithm (AFSVM).
此模型通过计算研究对象所属的各个已知模式的相对隶属度和级别特征值，判断了研究对象的分属模式。
The model can recognize research object pattern by counting its relative membership value to known patterns and its status value.
针对水质综合评价问题，提出了基于隶属度-遗传神经网络的水质综合评价模型。
A comprehensive assessment model of water quality was set up based on subordinate degree and genetic neural network.
本文简介了丰度模型、齐波夫律、特征分析、信息量与隶属函数等方法，并对其中某些方法有所改进。
In this paper, several methods such as abundance pattern, Zipf's Law, characteristic analysis, information content and subordinate function are briefly introduced and Some of them are improved.
本文运用模糊数学思想，按照相对隶属度原则，通过制定各门课程之间的权重系数，建立了一种新的奖学金评定的模糊优选数学模型。
In this paper, a new model of optimizing fuzzy selection for criteria of prize was built, using fuzzy theory and membership grade by specified weight coefficients of different courses.
然后结合隶属度变量构建优化模型，利用具有动态惩罚函数的遗传算法求解，计算得到各方案的所属类别。
Then optimization model with the membership degree is constructed. It is solved by using genetic algorithms with dynamical castigatory function.
介绍了模糊综合评判优选模型的建立、隶属度的确定、模糊评判矩阵R和权重向量W的确定。
This paper has introduced evaluation model of comprehensive assessment, grade of membership, fuzzy evaluation matrix R and weighting vectors W.
提出了一个基于模糊隶属度和规则的分类层次诊断模型。
A hierarchic classification diagnosis model, based on fuzzy membership grade and rules is being proposed.
文章提出了基于特征空间的模糊隶属度函数模型。
In this paper, a novel fuzzy membership function model is presented based on the feature space.
该方法建立多指标综合评价模型，采用隶属度函数对评价指标进行了描述。
That method builds up comprehensive evaluation model of many index signs; the adoption grade of membership functions to carry out a description towards evaluating index sign.
根据多个可行方案，用同时确定目标的权重和方案隶属度模糊模式识别交叉迭代模型进行优选。
Schemes are optimized by using a fuzzy pattern-recognition crossover iteration method, which gives the objective weight and the relative membership degree of alternative at the same time.
在第一个模型中，我们通过作用于隶属向量上的灵敏度创造出一种计算权重的特殊方法。
In the first model, we create a special solution to compute the weights, using the sensitivity imposed on the subjection vectors by the metrics.
运用模糊评判模型，用三角形隶属函数确定隶属度，对企业现状进行安全评价。
Based on the fuzzy unified assessment model, safety assessment is conducted in enterprises with the triangular function to define subordinated degree.
引入模糊数学技术，采用选择模糊分布模型的方法和专家调查法确定不同项目的隶属度。
By using fuzzy math theory, choosing the fuzzy distributing mode, and using expert investigation method, it calculates each different item's subordinate degree.
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.
最后建立模糊决策数学模型，根据最大隶属度原则，确定了最优方案。
At last, the Fuzzy decision mathematics model is built. And due to the maximum membership grade principle, the optimal proposal is determined.
研究了多级模糊综合评价在信用担保项目风险评价中的应用，建立了评价体系，对模糊性指标隶属度的处理进行了定量分析，确定了具体的评价模型。
This paper establishes an assessing model of the credit guarantee risk and the quantitative analysis of fuzzy index subjection according to the multi-level fuzzy comprehensive evaluation meth...
该模型通过隶属度加权来削弱个别异常数据对回归直线的影响，从而达到提高回归方程稳定性的目的。
By means of weighted subordination degree this model weakens the influence of distinct abnormal data affecting upon the regression straight line and...
采用模糊综合评估方法，构造了地下空间资源质量评估指标的隶属函数，并确定了隶属度，建立了权重向量与模糊关系矩阵复合运算的模糊综合评估模型。
Based on fuzzy synthesis evaluation, the membership function of each index for underground space resource quality evaluation was constructed, and the degree of membership was determined.
采用模糊综合评估方法，构造了地下空间资源质量评估指标的隶属函数，并确定了隶属度，建立了权重向量与模糊关系矩阵复合运算的模糊综合评估模型。
Based on fuzzy synthesis evaluation, the membership function of each index for underground space resource quality evaluation was constructed, and the degree of membership was determined.
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