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。

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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；

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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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