面向对象减少的局部相容粗糙集动态更新
Dynamic updating of local tolerance rough sets with the reduction of objects
杜晓拴 1张燕兰2
作者信息
- 1. 闽南师范大学计算机学院,福建 漳州 363000
- 2. 闽南师范大学计算机学院,福建 漳州 363000;数据科学与智能应用福建省高校重点实验室,福建 漳州 363000
- 折叠
摘要
数据通常具有不完备和动态的特点.为解决不完备信息系统用静态算法更新近似集时间效率低的问题,首先介绍不完备信息系统中的局部粗糙集模型.然后,根据对象包含度的变化给出局部粗糙集动态更新的相关定理,并设计一种局部相容粗糙集的动态更新算法.最后,利用UCI数据库中6组数据集进行仿真实验,验证所提动态更新算法的有效性与稳定性.
Abstract
Data has the characteristics of incompletion and dynamic state.In order to solve the prob-lem of low time efficiency of updating approximate sets by static algorithm in incomplete informa-tion systems,first,the definition of local rough sets model in incomplete information system is intro-duced.Then,according to the change of inclusion degree of objects,the relevant theorems of dynam-ic updating of local tolerance rough sets are given,and a dynamic updating algorithm of local rough sets is designed.Finally,the effectiveness and stability of the proposed dynamic updating algorithm are verified by simulation experiments with six datasets in UCI database.
关键词
不完备信息系统/局部粗糙集/包含度/动态更新Key words
incomplete information system/local rough sets/inclusion degree/dynamic updating引用本文复制引用
基金项目
福建省自然科学基金项目(2022J01912)
出版年
2024
NETL
NSTL
万方数据