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1)  fuzzy number entropy
模糊数熵
2)  Fuzzy exponential entropy
模糊指数熵
1.
This paper proposes an optimization algorithm of 3D segmentation with two thresholds based on improved fuzzy exponential entropy by modifying the maximum fuzzy exponential entropy function,which makes the segmentat.
针对上述3维分割的两大难点问题,提出了改进的模糊指数熵函数来改善分割结果,并以加权免疫遗传算法(WIGA)对阈值进行优化搜索,从而提出了一种基于改进模糊指数熵双阈值的3维图像分割优化算法。
3)  Exponential Fuzzy Entropy
指数模糊熵
1.
Construction of Exponential Fuzzy Entropy in Parametric Form;
参数型指数模糊熵的构造
4)  parameterized fuzzy entropy
参数型模糊熵
1.
New image segmentation method based on parameterized fuzzy entropy;
基于参数型模糊熵的图像分割新方法
5)  fuzzy entropy
模糊熵
1.
Dispersed methods of subordinated vector of safety grades based on fuzzy entropy;
基于模糊熵的安全等级隶属度向量的离散化方法
2.
Clustering validity function based on fuzzy entropy;
基于模糊熵的聚类有效性分析
3.
Research on logistics customer s satisfaction degree based on fuzzy entropy;
基于模糊熵的物流企业客户满意度评价模型
6)  fuzzy mutual entropy
模糊互熵
1.
Most of existing fuzzy information entropy definitions are reviewed before fuzzy mutual entropy and information transmission index are introduced for the first time.
在回顾了大多数模糊性的信息熵度量定义之后 ,首次定义了模糊互熵和信息传输指数等新概念 。
补充资料:数不胜数
1.数也数不清。形容很多。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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