• 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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  • 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。

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

    在不完备信息系统基于差别矩阵的属性约简算法中,相容类和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,提出基于差别元素的大小为新的属性选择标准。

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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简的判定定理和相应的可辩识属性矩阵,从而为概念格中协调决策形式背景属性约简提供了一种具体的方法。

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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.

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

    区分矩阵和区分函数是求核和约简的有力工具。

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

    区分矩阵和区分函数是求核和约简的有力工具。

    youdao

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