④多级加权模糊分类器的提出。
提出了一种新的基于模糊分类的红外云层背景弱小目标检测方法。
A new method is proposed to detect infrared small and dim targets in cloud cluster image based on fuzzy classification.
本文提出一种采用神经网络技术实现船舶间碰撞态势模糊分类的方法。
The method of fuzzy classifying of collision states between ships based on neural network is proposed in this paper.
其次在模糊分类问题中从推理机制和推理过程两个方面对这两种方法进行了比较。
And the paper compares them in the reasoning mechanism and reasoning process in the fuzzy classification problems.
对国内外有代表性的桥梁评价的模糊分类法加以介绍，有利于人们在实践中进行借鉴。
The introduction of some representative fuzzy classifying method for evaluation on bridge in-side and outside, is helpful for reference in practice.
针对一类基于模糊感知器的神经模糊分类器，分析了隶属函数限制条件对分类结果的影响。
For a neuro_fuzzy classifier based on the fuzzy perceptron, this paper analyses how membership function constraints affect the classification result.
确定风险的方法应该明了，尤其是当没有其他选择而只能使用诸如小或轻微风险的模糊分类。
The method of ascertaining risks should be explicit, especially where there is no alternative to the use of such vague categories as small or slight risk.
基于K -均值算法的模糊分类器具有很好的分类效果，用它可以很准确的对训练样本进行分类。
For increasing classifiers classification rate, We make use of the fuzzy theories to K-means algorithm again.
本文主要讨论CRI方法在模糊分类中的应用，及与基于相似性推理方法在模糊分类应用中的比较。
The paper mainly discusses the application of CRI method, and the comparison of CRI method and similarity-based method in the fuzzy classification problems.
针对基于章节目录的分类方式过于依赖特定教材的不足，提出了基于关键词聚类的问题模糊分类方法。
Aimed at the lack of the old classification algorithm, the paper presents a question fuzzy classification algorithm based on clustering of .
通过把特征值翻译为模糊值，即使对于不同的范围和维数的特征值组合，模糊分类能够标准化特征值。
By translating feature values into fuzzy values, fuzzy classification can standardize features and allows the combination of features, even of very different range and dimension.
然后从以下三个方面讨论了CRI方法在模糊分类中的应用：（1）不同的蕴涵算子对分类结果的影响；
Then it discusses the application of CRI method in the fuzzy classification problems in the following three aspects: (1) the influence of different implication operators on the classification result;
我们的工作在前人的基础上利用模糊分类理论，改进了特征量化的过程，实现了一个小型的图片搜索系统。
Our work inspired from previous work, exploiting fuzzy classification theory to improve the process of feature quantification, is implementing a small image search system.
基于竞争学习算法的模糊分类器确定系统的模糊空间和模糊规则数，并得出每个样本对每条规则的适用程度。
The fuzzy space structure of system and the number of fuzzy rules based on fuzzy competitive learning algorithm are determined and the fitness degree of each rule contrast to each sample is obtained.
用这样一个模糊规则来表示分类的模糊系统，更加有效地构建了一个能对训练样本比较准确分类的模糊分类器。
This fuzzy system design method that uses a fuzzy rule to represent a cluster is then propsed so that a fuzzy classifier can be efficiently constructed to correctly classify the training data.
第一阶段，将模糊分类系统的前件和输入变量编码为一个个体，实现了输入变量论域的动态划分和输入变量选择。
In the first step, the antecedents of fuzzy classification system and input variables are coded into a binary string and treated as an individual in genetic algorithm.
新模糊分类系统具有以下优点：(1)可解释性好，(2)有效的特征压缩，(3)与传统方法相当的识别精度。
The new fuzzy classification system has some advantages as follows: (1) good interpretability, (2) efficient feature compression, (3) comparative accuracy to the traditional methods.
本文提出一种模糊核超球感知器（FKHP）学习方法，并介绍了一种基于FKHP这种学习方法的模糊分类模型。
This paper introduces a fuzzy classification model based on the proposed fuzzy kernel hyperball perceptron(FKHP) learning method.
从实验结果可以看出将两者结合设计出的模糊分类器具有分类准确率高、模糊描述简单、规则少且易于理解等特点。
The experimental results show that the proposed fuzzy classifier based on AFS theory and Genetic Algorithm has few rules, high classification rate, and good interpretability.
本文研究了一种基于模糊分类的调制信号识别方法，即提取信号时域、频域、功率谱等统计特性，利用模糊分类器进行分类识别。
The classification technique uses various features of the signal amplitude, frequency, and power spectrum applied to the fuzzy classifier.
将模糊数学理论引入中小比例尺全色航空影像分类中，取得了一定的效果。试验表明模糊分类技术是一种较好的航空影像分类方法。
It acquires good classified effects that fuzzy mathematics is applied in the panchromatic aerial image classification. Experiments indicate this method is a good image classification.
本文提出了一种基于知识的遥感图像模糊分类算法，在传统的模糊分类方法中加入了从GIS数据库中发现的知识，用它来辅助进行遥感图像分类。
In this paper, a knowledge-based fuzzy image classification method is proposed. In the method, knowledge discovery from GIS is introduced in to assist fuzzy image classification.
建立了煤炭资源产分类的影响因素评价指标体系，以及基于聚类的综合评判模糊分类模型，探讨了煤炭资源资产分类的模糊数学方法，并通过实例进行了检验。
In the paper the evaluation index system of factors influencing the value of coal resources assets is set up, and fuzzy models for the classification of coal resources assets are given.
比如说，成群的狒狒通常分开居住，很明显被看作独居物种，但是有时他们会聚集和杂交，这样一来他们的分类就很模糊了。
For example, groups of baboons that usually live apart as apparently separate species sometimes aggregate and interbreed, muddying their classification.
“购物中心”的定义与分类也是一个边界模糊的零售概念。
The definition and classification of "Shopping Center" is a retail concept as fuzzy boundaries too.
“购物中心”的定义与分类也是一个边界模糊的零售概念。
The definition and classification of "Shopping Center" is a retail concept as fuzzy boundaries too.
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