摘要
直觉模糊集是基于模糊概念研究而建立的,表达模糊度更为细腻,处理不精确信息更为准确。论文是以直觉模糊信息系统为研究对象,以直觉模糊集为工具,给出了一种改进的直觉模糊信息系统的决策规则及约简方法。论文首先给出直觉模糊信息系统的预备知识,然后构造了一种改进的直觉模糊集并研究其性质及规则提取,最后通过实例验证该方法的有效性和可行性。
Intuitionistic fuzzy sets are based on the research of fuzzy concepts,expressing ambiguity more delicate,express ing inaccurate information more accurate.Taking the intuitionstic fuzzy information system as the research objectives,intuitionistic fuzzy sets as the research tools,a novel method is given to obtain decision rules from the intuitionistic fuzzy information system.Firstly,this paper gives the preliminary knowledge of intuitionistic fuzzy information system.Then,it constructs a novel kind of intu itionistic fuzzy sets,related properties and rule extraction.Finally,the effectiveness and feasibility of the method is illustrated by a living example.
作者
夏秀云
田浩
常安成
刘一龙
XIA Xiuyun;TIAN Hao;CHANG Ancheng;LIU Yilong(Department of Public Course,Hunan Institute of Information Technology,Changsha 410003;Department of Computer Science,Hunan Institute of Information Technology,Changsha 410003)
出处
《计算机与数字工程》
2020年第1期119-123,共5页
Computer & Digital Engineering
基金
国家自然科学基金项目（编号：60474022)
2018年湖南省教育厅科学研究项目“基于直觉模糊信息系统的三支决策模型应用研究”（编号：18C1586）
湖南信息学院2018年校级重点科学研究项目“直觉模糊信息系统下的三支决策模型研究”阶段性成果（编号：XXY018ZD05）资助
关键词
直觉模糊集
决策规则
约简
近似依赖性
intuitionistic fuzzy set
decision rule
approximation reduction
approxim-ate dependence
