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1)  fuzzy matrix ratio resemble
模糊相似比矩阵
2)  matrix R with obscurity and similarity and priority
模糊相似优先比矩阵R
3)  fuzzy similar matrix
模糊相似矩阵
1.
The Fuzzy Clustering(FC)theory into information filtering system based on Genetic Algorithm(GA)was introduced,to cluster the training texts by using the fuzzy similar matrix depending on each individual of GA s species,and the species according to the results of clustering with the proposed fitness function was evaluated.
在基于遗传算法的信息过滤系统中引入模糊聚类思想,对种群中的每个个体进行模糊相似矩阵直接聚类,然后根据聚类的结果采用所提出的适应度函数来评估种群的适应度,通过迭代训练得出更准确的用户兴趣模板,从而提高了信息过滤的准确率。
2.
The author devotes a methodology for classification based on fuzzy similar matrix to make the mould of rough set much better.
文章探讨一种基于模糊相似矩阵的分类方式,把传统的等价关系弱化为模糊等价关系,从而得到更具表达力的粗糙集模型,在这个前提下讨论规则获取一定程度上解决了知识粒度过细的问题。
3.
fuzzy sub - similar matrix and fuzzy similar matrix were studied preliminarily,and the thir applications were given in this paper.
初步研究了模糊亚相似矩阵和模糊相似矩阵,并给出了它们的一些应用。
4)  fuzzy dissimilar matrix
模糊非相似矩阵
1.
A high-dimensional datum fuzzy clustering method based on genetic algorithm is used to cluster the subsets,by importing a fuzzy dissimilar matrix to express the dissimilar degree between any two high dimensional datum,and initializing the high dimensional samples to two-dimensional plane.
该方法引入了一个模糊非相似矩阵来表示高维样本之间的非相似程度,并将高维样本随机初始化到二维平面,利用遗传算法迭代优化二维样本的坐标值,实现二维样本之间的欧氏距离向样本间的模糊非相似度的趋近。
2.
A high dimensional datas fuzzy clustering method is presented based on genetic algorithm,by importing a fuzzy dissimilar matrix to express the dissimilar degree between any two datas,and initializing the high dimensional samples to two dimensional plane.
引入了一个模糊非相似矩阵来表示高维样本之间的非相似程度,并将高维样本初始化到二维平面。
5)  fuzzy similarity matrix
模糊相似矩阵
1.
UP to now two algorithms for computing a local optimum of the optimal fuzzy equivalent matrix of a fuzzy similarity matrix and some heuristic methods have been introduced.
求与一个模糊相似矩阵“距离”最近的模糊等价矩阵,至今已提出了两个求局部最优解的算法和一些启发式算法,本文也提出一个简便可行的求局部最优解的算法,这算法与线性规划的单纯形算法一样,也是在有限个“顶点”上寻优。
6)  fuzzy sub-similar matrix
模糊亚相似矩阵
补充资料:模糊矩阵
分子式:
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性质: 用来表示模糊关系的矩阵,如果集合X有m个元素,集合Y有n个元素,由集合X到集合Y中的模糊关系R,可用矩阵表示。模糊矩阵中元素aij表示集合X中第i个元素与集合Y第j个元素从属于模糊关系R′的程度,在闭区间[0,1]中取值。这种将元素在闭区间[0,1]中取值的矩阵称为模糊矩阵。模糊矩阵的乘法运算与普通的矩阵运算相似,不同的是并非先两项相乘后相加,而是先取小而后取大。

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