借助模糊聚类技术和粗糙集理论提出了一个基于客观信息熵的多因素权重分配方法。
Using fuzzy aggregation theory and rough set theory, this article puts out a weight allocation method based on impersonal message entropy.
第二种方法是基于时差分模糊熵聚类的运动变化区域检测算法。
Other way is the motion-changed region detection algorithm based on fuzzy entropy clustering in time-differenced image .
本文把模糊义互熵和模糊似然函数的性质应用到模式聚类中从而为模式聚类增加了新一种方法；
In this paper, we according to fuzzy theory presented some property bout fuzzy alternation entropy and Similar function and a fuzzy technique about information classification.
应用信息熵及模糊熵聚类算法对油液监测数据间的关联关系进行考察。
Shannon's mutual information and fuzzy entropy clustering based oil analysis method was presented.
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.
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.
进而将聚类得到的属性隶属矩阵用于属性约简，并提出一种基于信息熵的模糊粗糙集知识获取的方法。
Then the membership matrix obtained by clustering algorithm was used to reduce attribute set. Finally, based on entropy, a knowledge acquisition method of fuzzy Rough Set (RS) was put forward.
进而将聚类得到的属性隶属矩阵用于属性约简，并提出一种基于信息熵的模糊粗糙集知识获取的方法。
Then the membership matrix obtained by clustering algorithm was used to reduce attribute set. Finally, based on entropy, a knowledge acquisition method of fuzzy Rough Set (RS) was put forward.
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