该方法通过定义图像的平滑性测度，采用模糊增强技术对图像的灰度直方图进行增强，然后在增强的直方图上，利用自适应多阈值分割方法进行图像分割。
By defining a region smoothness measure, the method firstly enhances peak-valley feature of image histogram by fuzzy set technique, and then segments image using adaptive multi-thresholding method.
另一方面，文中还给出了广义模糊积分平均收敛蕴涵依测度收敛的几个简洁的充分性条件，以及使两者等价的条件。
On the other hand, we also give several terse sufficiency conditions where the fuzzy mean convergence of (G) fuzzy integrals implies the convergence in fuzzy measure and making them equivalent.
在可能性测度的粗糙集解释基础上，给出了模糊集与粗糙集的一个转化算法，从而建立了两种非经典集合之间的关系。
Based on the interpretation of possibility measure based on rough set, we give an conversion algorithm of fuzzy set and rough set, thus establish a connection between these two non-classical set.
给出可能性测度、模糊数、三角模糊数的定义，引入模糊机会约束规划的模型和解法。
Propose the definitions of possibility measure, fuzzy number, triangle fuzzy number, introducing the model and algorithm of fuzzy chance constrained programming.
本文提出了以信任度、可能性测度、权重有隶属函数概念作为模糊相似性匹配的基础来检索图像的方法。
In this paper, we put forward the concept of belief measure, possible measure, membership function and weight as the base of fuzzy similarity match, with these functions we can retrieve images.
本文讨论了模糊聚类中的模糊C均值算法和聚类有效性测度。
This paper discusses the fuzzy C-means algorithm (FCM), one of the fuzzy clustering methods and clustering validity measurements.
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.
一种模型是基于有效性测度谢白尼指数的基因表达数据的模糊聚类分析。
One model is fuzzy cluster analysis of gene expression data based on a cluster validity measure named Xie-Beni index.
本文运用模糊推论原理和模糊测度中的可能性概念，提出了一个从预报的震级推算震中烈度的新方法。
A new method for evaluating epicentral intensity from magnitude predicted is presented by the fuzzy reasoning and the possibility concept of fuzzy measures.
用层次分析法计算各层面的权重，用模糊测度来处理每个层面中的评价指标之间的相关性，并利用模糊积分进行综合评价值的计算。
We can use AHP to compute every weight of aspects, use fuzzy measures to deal with the relativity between indexes in the same aspect.
文中第一章主要介绍模糊性和模糊集的基本概念，以及模糊测度和模糊熵的研究进展。
Chapter 1 introduces the basic concepts of fuzziness and fuzzy sets, and reviews the research progress of fuzzy measures and fuzzy entropy.
运用现代数学中的综合分析法，可以得出模糊相似性测度数据关联算法。
We can get fussy similarity data correlation by using general analysis in modern mathematics.
然而，事实并非如此，在模糊集合论中正是可信性测度才扮演了概率测度的角色。
However, it is the credibility measure which plays the role of probability measure in fuzzy set theory actually.
这样，在模糊数学中有三类测度：可能性测度、必要性测度、可信性测度。
Thus, there are three kinds of measure in fuzzy mathematics: possibility measure, necessity measure, credibility measure.
这样，在模糊数学中有三类测度：可能性测度、必要性测度、可信性测度。
Thus, there are three kinds of measure in fuzzy mathematics: possibility measure, necessity measure, credibility measure.
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