Multigranulation Rough Sets in Hesitant Fuzzy Linguistic Information Systems

被引:1
|
作者
Zhang, Chao [1 ]
Li, De-Yu [1 ]
Zhai, Yan-Hui [1 ]
机构
[1] Shanxi Univ, Sch Comp & Informat Technol, Key Lab Computat Intelligence & Chinese Informat, Minist Educ, Taiyuan 030006, Shanxi, Peoples R China
来源
ROUGH SETS, (IJCRS 2016) | 2016年 / 9920卷
关键词
Granular computing; Hesitant fuzzy linguistic term sets; Multigranulation rough sets; Uncertainty measures; DECISION-MAKING; TERM SETS;
D O I
10.1007/978-3-319-47160-0_28
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Based on lower and upper approximations induced by multiple binary relations, multigranulation rough set theory has become one of the most promising research topics in the domain of rough set theory. Through combining multigranulation rough sets with hesitant fuzzy linguistic term sets, this article introduces a hybrid model of multigranulation rough sets, named a hesitant fuzzy linguistic (HFL) multigranulation rough set. In the framework of granular computing, we first give basic definitions of optimistic and pessimistic hesitant fuzzy linguistic multigranulation rough sets. Then, we explore some important properties about hesitant fuzzy linguistic multigranulation rough sets. Lastly, uncertainty measures for the hesitant fuzzy linguistic multigranulation approximation space are addressed.
引用
收藏
页码:307 / 317
页数:11
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