1) discernibility matrix
分明矩阵
1.
Heuristic algorithm to rough set attribute reduction based on discernibility matrix;
基于分明矩阵的属性约简启发式算法
2.
Approach to heuristic knowledge reduction based on discernibility matrix;
一种基于分明矩阵的启发式知识约简方法
3.
Efficient algorithm of attribute reduction based on Skowron's discernibility matrix
基于Skowron分明矩阵的有效属性约简算法
2) discernible matrix
分明矩阵
1.
The advantage of this modelisthat core calculating don t need builddiscernible matrix.
从知识约简及核属性的定义出发,详细分析了文献[5]中的方法用于不相容决策信息系统中产生错误原因,并提出了一个新的基于等价类运算计算核属性的方法,该方法的优点在于同时适用相容决策表及不相容决策表核计算,且计算核属性不需要生成分明矩阵的中间步骤,最后证明了这种方法的有效性。
2.
Since it doesn t need to generate the medial link of discernible matrix,so it can spare space and time,and raise the efficiency of the learning algorithm.
采取一边计算构成等价类的相对分明函数的合取范式,一边通过产生的合取范式与已有的规则集计算新的规则集,得到一种改进的规则学习算法,由于该方法不用生成分明矩阵的中间环节,这样便节省了空间和时间,提高了运行效率。
3) generalization indiscernible matrix
广义分明矩阵
1.
Based on in-deep study the method of indiscernible matrix,indiscernible matrix method is extended in this paper,a method for all attribute reductions is proposed based on generalization indiscernible matrix.
文中在深入研究Skowron分明矩阵法的基础上,对Skowron的分明矩阵法进行了推广,提出了广义分明矩阵的属性约简方法,并给出了运行实例。
4) matrix analysis
矩阵分析
1.
Multi-sensor radar system identification based on D-S evidence theory of matrix analysis;
基于矩阵分析的D-S证据理论的多传感器雷达体制识别
2.
Applications of matrix analysis in birth and death model for Ad hoc
矩阵分析在Ad hoc网络生灭模型中的应用
3.
The generalization of Cauchy-Schwarz inequality and its application in matrix analysis
Cauchy-Schwarz不等式的推广及其在矩阵分析中的应用
5) Analysis matrix
分析矩阵
1.
Then,it presents a five-step CVD process involves both the rational and sensitive value and the static and relative dynamic characters of customer value,which followed by building a comprehensive analysis matrix of customer value based on CVD.
此外,本文还构建了基于CVD顾客价值综合分析矩阵,并设计了顾客价值交付循环模式。
6) Matrix Decomposition
矩阵分解
1.
Packet scheduling based on matrix decomposition in optical switches;
基于矩阵分解的光交换机分组调度算法
2.
Direction finding in the presence of coherent signals based on data matrix decomposition;
基于数据矩阵分解的相干源方向估计新方法
3.
In order to solve the problem of inverse kinematics for general 6R robots,an algorithm with high accuracy based on symbolic preprocessing and matrix decomposition was proposed.
为解决一般6R机器人的逆运动学问题,提出一种基于符号运算和矩阵分解的高精度逆运动学算法。
补充资料：分明
①清楚：黑白～ㄧ爱憎～。②明明；显然：他～朝你来的方向去的，你怎么没有看见他？
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