与传统的基于最大模糊熵的方法比较，本文采用的方法计算速度快和便于实时实现。
Comparing with the method based on maximal fuzzy entropy information, the new one is much faster and works well.
该算法以最大模糊熵作为参数选取的准则，使模糊变换参数根据处理对象不同自适应选取。
This algorithm USES maximum entropy as criterion for parameters selection in the membership function, so the parameters can be decided adaptively according to different targets.
介绍了一种新的模糊聚类方法，定义了模糊熵，提出了基于最大模糊熵的模糊聚类的方法，得到了一种新的聚类算法——GCM算法。
Fuzzy entropy is defined at first, then a new fuzzy clustering method based on maximum fuzzy entropy is proposed, that is GCM method.
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.
结果数值例子说明模糊相对熵方法和最大最小贴近度方法得出了一致的模糊识别的结果。
Results The numerical example shows that fuzzy relative entropy method and maximum minimum closeness method have the same results for fuzzy pattern recognition.
针对最大熵阈值分割算法的计算缺陷，提出了一种基于直方图的模糊最大指数熵阈值图像分割新算法。
To overcome the defects of image segmentation by maximum entropy, a new method of image segmentation was presented by using fuzzy maximum exponential entropy based on histogram.
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.
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.
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