Based on the definitions, the core finding algorithm, the relative attribute reduction algorithm and value reduction of information decision system are presented based on binary discernibility matrix.
在定义的基础上，给出了基于二进制区分矩阵的求核算法、相对属性约简算法及值约简算法。
In order to solve updating core attributes of incremental condition attribute system, an equivalent binary discernibility matrix is proposed based on in-depth study firstly.
为解决信息系统在条件属性动态增加情况下的核属性更新问题，通过深入分析得到了一种二进制区分矩阵的等价表示方法；
It firstly transforms the case sets into the binary decision system, then discompose the system into some simple subsystems according to decision attribute.
提出一种新的粗集知识获取方法，首先将事例集表示成二元决策系统，然后将其分解成一系列单一二元决策子系统。
It firstly transforms the case sets into the binary decision system, then discompose the system into some simple subsystems according to decision attribute.
提出一种新的粗集知识获取方法，首先将事例集表示成二元决策系统，然后将其分解成一系列单一二元决策子系统。
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