According to fuzzy clustering theory and fuzzy pattern recognition theory, a theory and model deciding forecast factor weight was present on basis of fuzzy object function in this paper.
根据模糊聚类与模糊识别理论，基于模糊环境下的目标函数，提出了一种确定预报因子权重的理论模式。
The method defines different member function for the object and background of the image to transform the image into fuzzy domain with maximum fuzzy entropy.
该方法将图像分为目标和背景，并分别建立相应的模糊隶属函数来描述图像各个灰度级属于目标和背景的模糊特性，进而给出图像模糊熵的描述。
A general solution is to add the spatial information to the object function of fuzzy C-means.
通常的做法是在原来模糊c -均值聚类的目标函数中加入空间信息惩罚项。
By integrating the fuzzy measurements of region object color and texture characteristics, the fuzzy measurement function for high dimensional characteristic of the interesting image is established.
提出了区域目标颜色与彩色纹理模糊测度，并将颜色与纹理信息进行融合，建立了敏感图像高维特征模糊测度函数。
By integrating the fuzzy measurements of region object color and texture characteristics, the fuzzy measurement function for high dimensional characteristic of the interesting image is established.
提出了区域目标颜色与彩色纹理模糊测度，并将颜色与纹理信息进行融合，建立了敏感图像高维特征模糊测度函数。
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