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
决策系统基于不可区分关系及区分关系的约简
Attribute Reduction of Decision Systems Based on Indiscernibility Relation and Discernibility Relation
投稿时间:2017-03-01  修订日期:2017-06-05
DOI:10.11896/j.issn.1002-137X.2018.06.044
中文关键词:  粗糙集,不可区分关系,区分关系,属性约简
英文关键词:Rough set,Indiscernibility relation,Discernibility relation,Attribute reduction
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
作者单位E-mail
秦克云 西南交通大学数学学院 成都610031 keyunqin@263.net 
敬思惠 西南交通大学数学学院 成都610031  
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中文摘要:
      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。
英文摘要:
      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.
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