A quick attribute reduction algorithm based on knowledge granularity

Zhangyan Xu, Wei Zhang, Xiaoyu Wang, Xiaoyu Li
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引用次数: 1

Abstract

The research of knowledge granularity has been a hotspot at home and abroad. In incomplete information systems of the rough set, we give a formula, which calculates the attribute frequency directly without acquiring the discernibility matrix. Then applying it to the field of knowledge granularity, we give a quick calculation of the attribute reduction algorithm, which of the time complexity is O(|C|2 |U |) in the worst case. The example result shows that the algorithm is correct and efficient.
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基于知识粒度的快速属性约简算法
知识粒度的研究一直是国内外研究的热点。在粗糙集的不完全信息系统中,我们给出了一个公式,该公式在不获取区别矩阵的情况下直接计算属性频率。然后将其应用于知识粒度领域,给出了属性约简算法的快速计算,其时间复杂度在最坏情况下为0 (|C|2 |U |)。算例结果表明,该算法是正确有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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