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
相关论文
共 50 条
  • [41] Generalized multigranulation fuzzy rough sets based on upward additive consistency
    Noor Rehman
    Abbas Ali
    [J]. Soft Computing, 2021, 25 : 3377 - 3401
  • [42] Generalized hesitant fuzzy linguistic term sets for linguistic decision making
    Yan, Li
    Kong, Mingming
    Pei, Zheng
    [J]. DATA SCIENCE AND KNOWLEDGE ENGINEERING FOR SENSING DECISION SUPPORT, 2018, 11 : 268 - 275
  • [43] Generalized multigranulation fuzzy rough sets based on upward additive consistency
    Rehman, Noor
    Ali, Abbas
    [J]. SOFT COMPUTING, 2021, 25 (05) : 3377 - 3401
  • [44] Multigranulation fuzzy probabilistic rough sets induced by overlap functions and their applications
    Han, Nana
    Qiao, Junsheng
    Li, Tengbiao
    Ding, Weiping
    [J]. FUZZY SETS AND SYSTEMS, 2024, 481
  • [45] Additive Consistency of Hesitant Fuzzy Linguistic Preference Relation With a New Expansion Principle for Hesitant Fuzzy Linguistic Term Sets
    Wu, Peng
    Zhou, Ligang
    Chen, Huayou
    Tao, Zhifu
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2019, 27 (04) : 716 - 730
  • [46] Updating approximations with dynamic objects based on local multigranulation rough sets in ordered information systems
    Li, Wentao
    Xu, Weihua
    Zhang, Xiaoyan
    Zhang, Jia
    [J]. ARTIFICIAL INTELLIGENCE REVIEW, 2022, 55 (03) : 1821 - 1855
  • [47] Tolerance-based multigranulation rough sets in incomplete systems
    Zaiyue Zhang
    Xibei Yang
    [J]. Frontiers of Computer Science, 2014, 8 : 753 - 762
  • [48] Tolerance-based multigranulation rough sets in incomplete systems
    Zhang, Zaiyue
    Yang, Xibei
    [J]. FRONTIERS OF COMPUTER SCIENCE, 2014, 8 (05) : 753 - 762
  • [49] Fuzzy Decision Making Based on Hesitant Fuzzy Linguistic Term Sets
    Lee, Li-Wei
    Chen, Shyi-Ming
    [J]. INTELLIGENT INFORMATION AND DATABASE SYSTEMS (ACIIDS 2013), PT I,, 2013, 7802 : 21 - 30
  • [50] On the connections between multigranulation rough sets and generalized rough sets
    Yang, Jiao
    Wan, Shiming
    Qin, Keyun
    [J]. PROCEEDINGS OF THE 2016 2ND INTERNATIONAL CONFERENCE ON MATERIALS ENGINEERING AND INFORMATION TECHNOLOGY APPLICATIONS (MEITA 2016), 2017, 107 : 517 - 522
12345