首页> 外文会议>Proceedings of the 2007 International Conference on Artificial Intelligence(ICAI'2007) >An Efficient Algorithm for Computing Core Based on Positive Region
【24h】

An Efficient Algorithm for Computing Core Based on Positive Region

机译:基于正区域的高效核计算算法

获取原文

摘要

How to find the core is important for attribute reduction based on rough set. To reduce the computational complexity, simplified decision table is introduced at first. For computing simplified decision table, IND(C) should usually be calculated at first, so based on radix sorting, a new algorithm for computing IND(C) with time complexity O (|C‖U|) is designed. On the other hand, to reduce the space complexity, a new algorithm for computing POS_C(D) is also proposed. Then based on the above definition and algorithms, a new algorithm for computing core is presented, whose time complexity is max(O(|C‖U|,O(|C|~2|U/C|)). Finally, an example is used for illustrating the proposed algorithms.
机译:如何找到核心对于基于粗糙集的属性约简非常重要。为了降低计算复杂度,首先介绍简化的决策表。为了计算简化决策表,通常应首先计算IND(C),因此,基于基数排序,设计了一种计算时间复杂度为O(| C′U |)的IND(C)的新算法。另一方面,为了降低空间复杂度,还提出了一种计算POS_C(D)的新算法。然后根据上述定义和算法,提出了一种新的计算核算法,其时间复杂度为max(O(| C′U |,O(| C |〜2 | U / C |))。示例用于说明所提出的算法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号