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A Simplified Discernibility Matrix of the Attribute Reduction Method

机译:属性约简方法的简化区分矩阵

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摘要

According to existing have defects discernibility matrix, and the attribute reduction algorithm for attribute reduction algorithm of complex process. This paper made part of optimization, based on the condition attributes classify the grouping generated representative data to simplify the discernibility matrix, and the order of the discernibility matrix, and the complexity of the attribute reduction. Thus the time complexity and space complexity made optimization, save the time and space complexity. From the example we can know that the algorithm can effectively for attribute reduction, can get ideal result. From the actual application can test the method is simple and effective. Improve the speed of attribute reduction algorithm. This method is further research about the rough set attribute reduction algorithm.
机译:根据已有的缺陷识别矩阵,并将属性约简算法用于复杂过程的属性约简算法。本文进行了部分优化,基于条件属性对分组生成的代表数据进行分类,以简化可区分性矩阵,可区分性矩阵的顺序以及属性约简的复杂性。因此,时间复杂度和空间复杂度进行了优化,节省了时间和空间复杂度。从实例中我们可以知道该算法可以有效地进行属性约简,得到理想的结果。从实际应用中可以测试的方法简单有效。提高属性约简算法的速度。该方法是对粗糙集属性约简算法的进一步研究。

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