A Quick Algorithm for Computing Core Based on the Positive Region

Wei-Dong Cai, Zhangyan Xu, Wei Song, Bingru Yang
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引用次数: 3

Abstract

Some scholars provided the discernibility matrix based on the positive region. The time complexity of the algorithm for computing core with this discernibility matrix is O(|CparU|2 ). For cutting down the time complexity of the algorithm, the definition of simplified discernibility matrix based on the positive region and the corresponding definition of the core are provided. At the same time, it is proved that this core is equivalent to the core based on the positive region. Since the partition of U/C is the key process for computing simplified discernibility matrix, a quick algorithm for computing U/C is designed with the idea of radix sorting. Its time complexity is O(|CparU|). On this condition, a new algorithm for computing core based on the positive region is designed with the simplified discernibility. Its time complexity is cut down to max{O(|CparU'posparU/C|), O(|CparU|)}.
一种基于正域计算核的快速算法
有学者提出了基于正域的差别矩阵。该算法计算该差别矩阵核心的时间复杂度为0 (|CparU|2)。为了降低算法的时间复杂度,给出了基于正域的简化差别矩阵的定义和相应的核心定义。同时,证明了该核与基于正区域的核是等价的。由于U/C的划分是计算简化差别矩阵的关键环节,采用基数排序的思想设计了一种快速计算U/C的算法。其时间复杂度为0 (|CparU|)。在此基础上,设计了一种新的基于正域的计算核算法,简化了可辨性。它的时间复杂度降低到max{O(|CparU'posparU/C|), O(|CparU|)}。
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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