摘要
信息系统中的知识约简和知识发现是粗糙集理论的重要研究方向。针对决策系统中的不可区分关系及区分关系,给出相应的协调集判定定理,进而借助区分矩阵及区分函数给出属性约简方法,并借助实例将其与已有的相关研究工作进行了对比分析。
Knowledge reduction and knowledge discovery in the information systems are important topics of rough set theory.Based on the indiscernibility relation and discernibility relation of decision systems,the judgement theorems for relative indiscernibility consistent set and relative discernibility consistent set were provided.This paper gave the attribute reduction method by discernibility matrices and discernibility functions,and analyzed it and relevant research work by means of examples.
作者
秦克云
敬思惠
QIN Ke-yun;JING Si-hui;College of Mathematics;Southwest Jiaotong University;
出处
《计算机科学》
CSCD
北大核心
2018年第6期247-250,共4页
Computer Science
基金
国家自然科学基金(61473239
61372187)
西华大学省部级学科平台开放课题(szjj2014-052)资助
关键词
粗糙集
不可区分关系
区分关系
属性约简
Rough set
Indiscernibility relation
Discernibility relation
Attribute reduction
