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。
Both of attribute weight frequency and strong compressible set are used to simplify discernibility matrix so that computing complexity is decreased and reduction efficiency is.
同时利用属性加权频率和强等价集概念化简区分矩阵，既减小了计算复杂度又提高了约简效率。
Both of attribute weight frequency and strong compressible set are used to simplify discernibility matrix so that computing complexity is decreased and reduction efficiency is increased.
同时利用属性加权频率和强等价集概念化简区分矩阵，既减小了计算复杂度又提高了约简效率。
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