• 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.

    定义基础给出基于二进制区分矩阵求核算法、相对属性算法算法。

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  • 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等价概念化区分矩阵,既减小计算复杂度提高了约效率。

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  • 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等价概念化区分矩阵,既减小了计算复杂度提高了约效率

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  • In incomplete information system, objects of the tolerance class and maximal consistent block in the attribute reduction algorithm based on discernibility matrix are uncertain.

    不完备信息系统基于差别矩阵属性约简算法,相容最大相容类中的对象具有不确定性

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  • Aiming at these disadvantages, a new selected attribute standard based on magnitude of the discernibility element is proposed.

    针对这些不足提出基于差别元素大小新的属性选择标准

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  • In addition, we propose theory of knowledge reduction based on consistent decision formal context and give the judgement theorems and discernibility matrices, from which methods of attribute

    进一步给出了属性约判定定理相应的可识属性矩阵,从而为概念格中协调决策形式背景属性约简提供一种具体的方法

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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.

    解决信息系统条件属性动态增加情况下属性更新问题,通过深入分析得到了二进制区分矩阵等价表示方法

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  • Discernibility matrix and discernibility function are a powerful tool seeking nuclear attributes and attribute reduction.

    区分矩阵区分函数和约简有力工具

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  • Discernibility matrix and discernibility function are a powerful tool seeking nuclear attributes and attribute reduction.

    区分矩阵区分函数和约简有力工具

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