摘要
已有的犹豫模糊粗糙集并未考虑多源信息处理的需要.为了解决这一问题,文中分别提出乐观多粒度犹豫模糊粗糙集模型和悲观多粒度犹豫模糊粗糙集模型,并详细分析这两种模型的理论性质.最后通过一个多源信息系统的实例对比分析乐观和悲观形式下的近似集.
The existing hesitant fuzzy rough set model does not take the multi-source information into account. To solve this problem,an optimistic strategy based multigranulation hesitant fuzzy rough set model and a pessimistic strategy based multigranulation hesitant fuzzy rough set model are proposed,respectively. The properties of the two models are shown. Finally,the approximate sets under optimistic version and pessimistic version are analyzed by an example of a multi-source information system.
作者
李建卓
LI Jianzhuo(School of Computer,Baoji University of Arts and Sciences,Baoji 721013)
出处
《模式识别与人工智能》
EI
CSCD
北大核心
2018年第11期986-996,共11页
Pattern Recognition and Artificial Intelligence
基金
国家自然科学基金项目(No.51207002)
陕西省教育厅专项科学研究项目(No.15JK1028)
宝鸡文理学院校级重点项目(No.zk2017004)资助~~
关键词
犹豫模糊集
多粒度
乐观
悲观
粗糙集
Hesitant Fuzzy Set
Multigranulation
Optimistic
Pessimistic
Rough set
