Firstly, it deals with the data of information system and create the binary discernible matrix.

首先对信息系统的数据加工泛化，构造其二进制可辨矩阵。

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The time complexity and space complexity of the traditional attribute reduction algorithm using discernible matrix are quite big.

传统的利用区分矩阵进行属性约简算法，其时间复杂度和空间复杂度很大。

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Since it doesn't need to generate the medial link of discernible matrix, so it can spare space and time, and raise the efficiency of the program run.

由于不用生成分明矩阵的中间环节，这样便节省了空间和时间，提高了运行效率。

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And three modified attribute reduction algorithms are presented, including modified algebraic algorithm, weighed sum of attribute significance algorithm and modified discernible matrix algorithm.

提出了三种改进的属性约简算法：改进的代数集合算法、重要度加权平均算法和改进的可辨识矩阵算法。

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And three modified attribute reduction algorithms are presented, including modified algebraic algorithm, weighed sum of attribute significance algorithm and modified discernible matrix algorithm.

提出了三种改进的属性约简算法：改进的代数集合算法、重要度加权平均算法和改进的可辨识矩阵算法。

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