1) Fuzzy entropy
模糊熵分割
1.
Authors presents an improved segmention technique based on multiple threshold values determined by fuzzy entropy.
为快速准确找到车牌位置 ,提出了一种改进的多阈值模糊熵分割方法 。
2) fuzzy segmentation
模糊分割
1.
Cell Project Algorithm Based on Fuzzy Segmentation of Medical 3D Data Field;
一种基于医学三维数据场模糊分割的体元投射算法
3) fuzzy partition
模糊分割
1.
Support vector machine classifier based on fuzzy partition and neighborhood pairs;
基于模糊分割和邻近对的支持向量机分类器
2.
Application of Association Rule Mining based on Fuzzy Partition;
模糊分割在关联规则挖掘中的应用
4) fuzzy division entropy
模糊划分熵
1.
According to the theory of difference analysis in statistics and entropy theory in information theory, two functions-F statistics and fuzzy division entropy were constructer, the F statistics was mainly used to determine the optimal division number and the fuzzy division entropy was used to verify the validity of division.
首先在常规的Bezdek模糊划分模型的基础上,引入了考虑权重的模糊划分模型;并根据数理统计中的方差分析理论和信息论中的信息熵理论,构建了模糊F统计量、模糊划分熵,F统计量用来确定最佳划分数,模糊划分熵用来检验模糊划分的有效性。
5) Fuzzy classification entropy
模糊分类熵
6) Fuzzy Partition Entropy
模糊划分熵
1.
According to the theory of difference analysis, this paper propose using Mixed-F statistic to determine the optimal class number of fuzzy cluster, and using fuzzy partition entropy to verify whether the clas number is op- timal.
本文根据方差分析理论，提出应用混合Ｆ统计量来确定最佳分类数，并 应用模糊划分熵来验证最佳分类的正确与否。
2.
Image thresholding segmentation method based on fuzzy partition entropy has good segmentation performance and becomes a kind of extensive application method in image segmentation field.
基于模糊划分熵的图像阈值化分割方法因具有良好的分割性能已成为图像分割广泛应用的方法之一。
补充资料：Dedekind分割
Dedekind分割
Dedekind cut
D日加脑目分割[D汕如目cut;皿e八eKou皿。即ee，e。。e]，分割(cut) 把实数集R(或有理数集Q)分割成两个非空集合A和B，其并为R(或Q)，并使得对任何a6A和be及都有a
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条