...
首页> 外文期刊>International journal of computer science and network security >Relative Reducts and Heuristic Algorithm for Reducts in the Object-Oriented Rough Set Models
【24h】

Relative Reducts and Heuristic Algorithm for Reducts in the Object-Oriented Rough Set Models

机译:面向对象的粗糙集模型中的相对归约和启发式算法

获取原文
获取原文并翻译 | 示例

摘要

We propose a new reduct in the object-oriented rough set model called relative reduct. In the object-oriented rough set models, objects are treated as instances of classes, and illustrate structural hierarchies among objects based on is-a relationship and has-a relationship[2].We also introduced heuristic-filter base algorithm for finding reducts in the object-oriented rough set model. The reduct finding in the object-oriented rough set models suffer intense computation of discernibility function and positive regions. In order to improve the efficiency, in this paper, we develop a new computation model based on relative class dependency.
机译:我们在面向对象的粗糙集模型中提出了一个新的约简,称为相对约简。在面向对象的粗糙集模型中,将对象视为类的实例,并基于is-a关系和has-a关系来说明对象之间的结构层次[2]。我们还引入了启发式过滤器基算法来查找对象中的约简。面向对象的粗糙集模型。面向对象的粗糙集模型中的归约发现需要对可分辨函数和正区域进行大量计算。为了提高效率,在本文中,我们开发了一个基于相对类依赖的新计算模型。

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