一种非对称距离下的粗糙粒结构选择方法
A Method for Selecting Rough Granular Structure Based on Asymmetric Distance
陈志恩1
作者信息
- 1. 宁夏师范大学 数学与计算机科学学院,宁夏 固原 756000
- 折叠
摘要
针对目标信息系统中粒结构在近似求解中的选择问题,给出一种非对称距离下的粗糙粒结构选择方法.首先,在商空间知识距离框架下定义了一种非对称知识距离,用以刻画条件知识与目标概念之间的近似程度.其次,在同一目标信息系统中,按条件属性的不同添加顺序,建立相应的非对称知识距离序列.再次,在属性代价约束条件下,引入粗糙粒结构评价参数.最后,选择评价参数较小的粗糙粒结构逐级进行求解.
Abstract
Aiming at the selection of granular structures for approximate solutions in target information systems,a method for selecting rough granular structures based on asymmetric distance is proposed.Firstly,an asymmetric knowledge distance is defined to describe the closeness between conditional knowledge and the target concept within the knowledge distance framework of quotient space.Subsequently,asymmetric knowledge distance sequences are constructed according to different orders of adding conditional attributes in the same target information system.Furthermore,an evaluation parameter for rough granular structure is introduced under the constraint of attribute cost.Finally,the rough granular structure with smaller evaluation parameters is selected for step-by-step approximation.
关键词
非对称距离/粗糙粒结构/属性代价/约束条件/评价参数Key words
asymmetric distance/rough granular structure/attribute cost/constraint condition/evaluation parameter引用本文复制引用
基金项目
国家自然科学基金资助项目(12261070)
宁夏自然科学基金资助项目(2024A0714)
宁夏高等学校科学研究基金资助项目(NGY2022083)
出版年
2024
国家科技期刊平台
NSTL
万方数据