该文提出了一种通过最大化二维直方图模糊划分熵分割灰度图像的新算法。
In this paper a novel method is presented to segment gray level image through maximizing the fuzzy partition entropy of two-dimensional histogram.
提出了一种基于混沌蚁群算法优化二维模糊划分最大熵的红外图像分割方法。
An approach for infrared image segmentation based on fuzzy partition maximum entropy of two-dimensional histogram optimized by Chaos ant colony algorithm is proposed.
该方法采用直觉模糊包含度和直觉模糊划分熵来评价直觉模糊聚类的有效性。
The technique includes two important evaluation factors: intuitionistic fuzzy inclusion degree and intuitionistic fuzzy division entropy.
这种模糊划分评价方法有效减少了人为因素的影响，为纱线的定量评价提供了方法。
The effect of subjective factors is alleviated by using the evaluation method based on fuzzy division, and a method for implement ration evaluation is provided.
本文首次运用了标准模糊划分、模糊产生式规则以及知识库技术来解决教学评价问题。
The thesis USES fuzzy divide, fuzzy produce rule and knowledge base technology to solve teaching evaluation problem for the first time. This thesis illustrates in detail the thesis background.
根据用户评价历史信息对资源进行模糊划分，建立资源版本评价矩阵，进行模糊筛选。
According to the history information, this method divided the resources fuzzily, built the evaluation matrix and selected the resources fuzzily.
首先介绍了模糊概率、用条件概率与条件熵定义模糊划分熵的概念以及模糊划分的原理。
Firstly, a definition of fuzzy partition entropy is proposed after introducing the concepts of fuzzy probability and fuzzy partition.
利用递推模糊聚类算法实时对系统的输入空间进行模糊划分，利用卡尔曼滤波算法确定参数。
The input space of fuzzy system is partitioned by means of real time recursive fuzzy clustering, and the parameters of fuzzy model are confirmed by Kalman filtering.
基于模糊划分熵的图像阈值化分割方法因具有良好的分割性能已成为图像分割广泛应用的方法之一。
Image thresholding segmentation method based on fuzzy partition entropy has good segmentation performance and becomes a kind of extensive application method in image segmentation field.
本文采用标准模糊划分及可能性测度的概念，论述了对复杂系统建立模糊数学模型的一种有效方法。
The paper presents an effective method for building the fuzzy mathematical model in complex systems. The concepts of the standard fuzzy partition and possibility measure are used.
最后引进了模糊评判方法对道路交通事故进行了等级模糊划分的研究，在一定程度上改进了原有的分级方法。
Finally, blur judge method for ranking accidents is fetched, with the result of improving traditional compartmentalizing method to a certain degree.
用模糊方向属性特征描述单个边缘点笔画方向属性； 模糊方向特征是图像的模糊划分和边缘点的模糊方向属性特征的结合。
The fuzzy direction feature combines the fuzzy image division with the fuzzy direction property feature, which describes the stroke direction property of single edge point.
首先按过程输出随输入变量变化的程度对输入变量论域进行划分，在此基础上确定模糊模型的规则总数和前件参数；
The domain of discourse of input variables is divided firstly according to the changing degree of the process output while the input variables change.
此聚类算法可以在线地划分输入数据，逐点地更新聚类，自己组织模糊神经网络的结构。
This clustering algorithm can on-line partition the input data, pointwise update the clusters, and self-organize the fuzzy neural structure.
提出了应用模糊聚类划分储集层岩石物理相的方法。
A method for division of reservoir petrophysical facies by fuzzy clustering is proposed.
此方法有效地解决了在先验概率未知的条件下，如何动态可变且快速地划分模糊域的问题。
The solution of quick a nd dynamic division of fuzzy fields is given out by this method, without the know ledge of priori probability.
初始软划分是模糊综合安全评价中确定单因素评价矩阵的基础。
In the Fuzzy Synthetic Safety assessment, the initial soft classification is the basis of establishing single factor assessment matrix.
提出了一种基于模糊正态划分的逻辑推理诊断方法。
The diagnosis method based on fuzzy normal partition logic reasoning is discussed in this paper.
针对河流-三角洲储层沉积微相的划分问题，提出了基于加权模糊推理神经网络的判别方法。
Based on the division of river-delta reservoir sedimentary facies, we present a distinguishing method based on the fuzzy reasoning NN.
本文采用安全等级模糊特征量划分了安全等级。通过实例的应用及对评价结果的处理，得出乙烯建设项目的安全现状为较好级的结论。
To use characteristic quantity of safety grade divide five safety grade, this paper disposes consequent according to apply example and gets itself conclusion.
该方法的目的是实现多传感器观测数据的模糊聚类，使源于不同目标的观测数据能正确划分到该目标中去。
Its aim is to accomplish fuzzy cluster among data of multisensor in order to make out the affiliation between different data and different targets.
该方法既保留了图象的边缘，避免了以往图象分类中出现的边缘模糊问题，又有效地对图象进行了区域划分。
This method not only preserves the edge of the image, avoids the problem of edge blurring in image classification, but also is effective in region division.
而模糊集理论为这种软划分提供了有力的理论分析基础。
The fuzzy set theory has provided the powerful analysis tool for this kind of soft division.
本文试用模糊聚类方法，对该地区的水资源区划进行探讨，初步得出3个类型的划分。
Regionalization of the water resources in this area has been proved by using fuzzy clustering method, through which 3 types have been settled.
在故障模糊集划分的基础上，根据故障信息量，建立了实时故障树的节点优选方法。
Based on carving up the fuzzy sets, according to the quantity of fault information, a node selecting method for real - time fault diagnosis tree is astablished.
对数量型属性，应用竞争聚集算法将数量型属性划分成若干个模糊集，并系统地提出加权模糊关联规则的挖掘算法。
As for quantitative attributes, they are divided into several fuzzy sets by the competitive agglomeration algorithm, and then the algorithm for mining weighted fuzzy association rules is provided.
对数量型属性，应用竞争聚集算法将数量型属性划分成若干个模糊集，并系统地提出加权模糊关联规则的挖掘算法。
As for quantitative attributes, they are divided into several fuzzy sets by the competitive agglomeration algorithm, and then the algorithm for mining weighted fuzzy association rules is provided.
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