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决策系统基于不可区分关系及区分关系的约简
引用本文:秦克云,敬思惠. 决策系统基于不可区分关系及区分关系的约简[J]. 计算机科学, 2018, 45(6): 247-250
作者姓名:秦克云  敬思惠
作者单位:西南交通大学数学学院 成都610031,西南交通大学数学学院 成都610031
基金项目:本文受国家自然科学基金(61473239,61372187),西华大学省部级学科平台开放课题(szjj2014-052)资助
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。

关 键 词:粗糙集  不可区分关系  区分关系  属性约简
收稿时间:2017-03-01
修稿时间:2017-06-05

Attribute Reduction of Decision Systems Based on Indiscernibility Relation and Discernibility Relation
QIN Ke-yun and JING Si-hui. Attribute Reduction of Decision Systems Based on Indiscernibility Relation and Discernibility Relation[J]. Computer Science, 2018, 45(6): 247-250
Authors:QIN Ke-yun and JING Si-hui
Affiliation:College of Mathematics,Southwest Jiaotong University,Chengdu 610031,China and College of Mathematics,Southwest Jiaotong University,Chengdu 610031,China
Abstract: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 attri-bute reduction method by discernibility matrices and discernibility functions,and analyzed it and relevant research work by means of examples.
Keywords:Rough set  Indiscernibility relation  Discernibility relation  Attribute reduction
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