首页> 外文会议>Machine Learning and Cybernetics >On the upper approximations of covering generalized rough sets
【24h】

On the upper approximations of covering generalized rough sets

机译:在覆盖广义粗糙集的上逼近

获取原文

摘要

The covering generalized rough set is an improvement of Pawlak rough set to deal with more complex practical problems which the latter one cannot handle. However, many basic notions in this theory are not as widely agreeable as in the Pawlak rough set theory. We mainly improve the definition of upper approximation for covering generalized rough sets to make it more reasonable than the existing ones. Thus we set up a framework for the approximation operators of covering rough sets.
机译:覆盖的广义粗糙集是提高Pawlak粗糙集,以处理更复杂的实际问题,后者无法处理。然而,这种理论中的许多基本概念并不像Pawlak粗糙集理论那样广泛令人愉快。我们主要改善上逼近的上近似的定义,以使广义粗糙集的定义使其比现有的粗糙集更合理。因此,我们为覆盖粗糙集的近似运算符建立了一个框架。

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