检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:庞婧 姚炳学[1] 李令强[1] PANG Jing;YAO Bing-xue;LI Ling-qiang(School of Mathematical Sciences,Liaocheng University,Liaocheng 252059,China)
出 处:《模糊系统与数学》2022年第5期158-165,共8页Fuzzy Systems and Mathematics
基 金:国家自然科学基金资助项目(11801248,12171240);山东省自然科学基金资助项目(ZR2020MA042)。
摘 要:本文引入了基于模糊邻域系的α-粗糙集模型,研究了其基本性质,建立了其约简理论,并借助于α-粗糙集给出了模糊邻域系粗糙集的分解定理,从而建立了其与邻域系粗糙集的联系。In this paper,the concept ofα-rough set based on fuzzifying neighborhood systems is introduced,and its basic properties are discussed.Secondly,the reduction theory of theα-rough set based on fuzzifying neighborhood systems is presented.Finally,through theα-rough set based on fuzzifying neighborhood systems,the decomposition theorem of the rough sets based on fuzzifying neighborhood systems is given,and the relation between the rough sets based on fuzzifying neighborhood systems and the rough sets based on neighborhood systems is established.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:3.19.55.254