1) Discernibility Matrix
可辩识矩阵
1.
The method creates the core and a series of the reduction sets from discernibility matrix and discernibility function of the known decision system.
提出了基于粗糙集理论的故障诊断规则获取方法,该方法通过决策系统的可辩识矩阵和分辨函数计算核和所有的约简集,以约简集为初始节点,建立层状节点网络模型,对于各节点,提取符合可信度要求的诊断规则写入规则集中。
2) discernibility matrix
可辨识矩阵
1.
Fast attribute reduction algorithm of rough set based on discernibility matrix;
基于可辨识矩阵的快速粗糙集属性约简算法
2.
An algorithm of attribute frequency reduction based on discernibility matrix;
基于可辨识矩阵的属性频率约简算法
3.
A discernibility matrix based attribute reduction algorithm for in consistent decision tables;
不相容决策表属性约简计算的一个可辨识矩阵方法
5) improved discernibility matrix
改进可辨识矩阵
1.
The improved discernibility matrix is put forward,the attribute importance is redefined and the Fuzzy Cluster is applied for the classification of attribute importance,then based on which a heuristic algorithm for reduction of knowledge and abstracting decision rules is proposed.
首先提出了改进可辨识矩阵,然后对属性重要性进行了重新定义,并且将模糊聚类应用于属性重要性划分,从而在此基础上提出了一种启发式知识约简及决策规则提取算法。
6) discernibility attribute matrix
可辨识属性矩阵
1.
In random information systems,based on the indiscernibility relation,the concept of indiscernibility attribute matrix is proposed and the relationship between discernibility attribute matrix and indiscernibility attribute matrix is shown.
在随机信息系统中,根据不可辨识关系,提出了不可辨识属性矩阵的概念,证明了不可辨识属性矩阵与可辨识属性矩阵的关系,最后提出了一种基于不可辨识属性矩阵约简算法。
补充资料：辩识
1.通晓。
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