Experimental results show that this method makes up the drawbacks of weighted fuzzy mean filter, and excels the classical median filter.
实验结果表明，该方法的滤波效果不但弥补了模糊加权滤波器的不足而且较经典中值滤波器有更好的滤波效果。
Similarly, we discuss the relation between fundamental convergence in fuzzy measure and fuzzy mean fundamental convergence of (g) fuzzy integrals.
类似地，还讨论了“依测度基本”与“广义模糊积分平均基本”的关系。
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.
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。
Smart drugs: Does getting old have to mean worsening memory, slower reactions and fuzzy thinking?
聪明药：变老是不是就意味着记忆变差？行动迟缓？并且会变得思绪混乱？
The mean value of work loads on a shaft bearing of swivel and rotary table is determined by basic principles of fuzzy theory, considering the loads' fuzziness and the requirement for reliability.
考虑钻机(水)龙头和转盘主轴承工作载荷的模糊性及可靠性要求，应用模糊数学基本原理求得平均计算载荷，从而计算出主轴承的模糊可靠性寿命。
An algorithm for selecting episode representation frames by using an approach of key frame extraction based on multiple characters and C-Mean fuzzy clustering is detailed in the paper.
该文在子镜头的关键帧提取方法基础上，利用模糊c -均值聚类算法，实现了一种基于子镜头聚类的情节代表帧选取方法。
With the purpose of word is plemental tone, or links context, or to avoid the mean effectively and fuzzy.
加词的目的则是补足语气，或者连接上下文， 或者避免译文的意思含混和模糊。
According to the characteristics of mixed data signals, this paper proposes a new fuzzy smoothing method, which USES weighted mean idea to share the neighboring samples' data value.
本文针对混合数据信号的特征，提出一种新的模糊平滑法，沿用加权平均的思想，对信号相邻的点之间进行加权运算。
The final CFV for hypothesis is given based on mean and fuzzy entropy of all CFV.
一个假设可信度值CFV的最终值是根据各可信度值的平均值和模糊熵来确定的。
The T-S fuzzy model's parameters are identified by methods of fuzzy C mean(FCM) and orthogonal least-squares(OLS) online or otherwise.
模糊模型的前件和后件参数分别采用模糊C均值聚类（FCM）和正交最小二乘法（OLS）进行离线或在线辨识。
The concepts of second order fuzzy random variables and mean square convergence of sequences of fuzzy random variables are introduced. Some related properties are proved.
给出二阶模糊随机变量和模糊随机变量序列均方收敛的概念，证明了一些相关的性质。
The rambutan flesh was segmented using the FCM (fuzzy C-mean) clustering method after removing the background of the image.
首先用阈值分割法去除红毛丹背景，然后用模糊C均值聚类方法来分割果肉区域。
An LMI design method for mean square stabilization of a class of nonlinear stochastic systems based on the T-S fuzzy model is proposed.
提出一类基于T S模糊模型的非线性随机系统均方镇定的线性矩阵不等式(LMI)设计方法。
A new efficient fuzzy weighted mean filter approach to the restoration of images corrupted by mixed noise was proposed.
针对图像混合噪声提出了一种新型的模糊加权均值滤波算法。
The mean value of work loads on a shaft bearing of swivel and rotary table is determined by basic principles of fuzzy theory, considering the loads' fuzziness and the requirement for reliability.
考虑钻机水龙头和转盘主轴承工作载荷的模糊性及可靠性要求，应用模糊数学基本原理求得平均计算载荷，从而计算出主轴承的模糊可靠性寿命。
LMI design method for mean square stabilization of a class of nonlinear stochastic systems with time-delay based on the T-S fuzzy model is introduced.
提出了一类基于T - S模糊模型的非线性时滞随机系统均方镇定的LMI通用设计方法。
Aiming at the partial invalidity problem which exists in fuzzy comprehensive evaluations, this paper proposes a new relative membership grade weighted mean method.
针对模糊综合评判方法存在部分失效的问题，提出一种相对隶属度加权平均法。
Selecting train sample on the basis of fuzzy C-mean clustering can improve accuracy of train sample, singleness of train samples can be satisfied.
在模糊c -均值聚类的基础上选择训练样本，可以提高训练样本的准确度，满足了训练样本所需的单一性原则。
A method based on fuzzy C-mean clustering and image matching algorithms are proposed to detect atomization Angle and uniformity, applied to performance test-bed of engine nozzle.
提出了基于模糊C均值聚类和图像匹配，检测喷雾锥角和喷雾不均匀度的方法，并应用于发动机喷嘴性能检测。
We bring out our video retrieval method based on multi-feature data association histogram and C-Mean fuzzy clustering algorithm.
基于多特征联合分布直方图理论和模糊c -均值聚类算法，我们提出了新的视频流模糊检索方法。
Several new algorithms of fuzzy C-mean clustering with the combination of vector quantization are proposed for speaker identification.
该文提出了一种将模糊C -均值聚类法的各种改进算法与矢量量化法相结合的说话人辨认的新方法。
Selecting train sample on the basis of fuzzy C-mean clustering decreased subjective factor affecting selecting train sample, so higher classification accuracy can be achieved.
同时，在模糊C-均值聚类基础上选择训练样本比起直接基于真实地物图选择，减少了主观因素对训练样本选择的影响，因此取得了更高的分类精度。
After posterior mean is exploited as fuzzy point estimate, loss frequency distribution and severity distribution are gotten.
取后验均值作为模糊点估计值后，便得到损失频度与强度分布。
This paper discusses the computation of the mean indices under fuzzy conditions, and develops a technique to deal with this problem by fuzzy extension principle.
阐述了综合指数、平均数指数和平均指标指数的编制方法及三种指数在编制过程中应注意的问题，并配以实例进行计算和分析。
To remove mixed impulse noise and Gauss noise in digital images, a new mixed filter based on the adaptive median filter and fuzzy weighted mean filter is proposed.
实验表明，该算法能有效滤除图像中的高斯噪声和斑点噪声，同时能很好地保持图像中的细节部分且比较容易用硬件实现。
To remove mixed impulse noise and Gauss noise in digital images, a new mixed filter based on the adaptive median filter and fuzzy weighted mean filter is proposed.
实验表明，该算法能有效滤除图像中的高斯噪声和斑点噪声，同时能很好地保持图像中的细节部分且比较容易用硬件实现。
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