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
  • [1] Intuitionistic fuzzy multigranulation rough sets
    Huang, Bing
    Guo, Chun-xiang
    Zhuang, Yu-liang
    Li, Hua-xiong
    Zhou, Xian-zhong
    [J]. INFORMATION SCIENCES, 2014, 277 : 299 - 320
  • [2] A multigranulation fuzzy rough approach to multisource information systems
    An, Likui
    Ji, Sinan
    Wang, Changzhong
    Fan, Xiaodong
    [J]. SOFT COMPUTING, 2021, 25 (02) : 933 - 947
  • [3] A multigranulation fuzzy rough approach to multisource information systems
    Likui An
    Sinan Ji
    Changzhong Wang
    Xiaodong Fan
    [J]. Soft Computing, 2021, 25 : 933 - 947
  • [4] Multigranulation rough set model in hesitant fuzzy information systems and its application in person-job fit
    Chao Zhang
    Deyu Li
    Yanhui Zhai
    Yuanhao Yang
    [J]. International Journal of Machine Learning and Cybernetics, 2019, 10 : 717 - 729
  • [5] Multigranulation rough set model in hesitant fuzzy information systems and its application in person-job fit
    Zhang, Chao
    Li, Deyu
    Zhai, Yanhui
    Yang, Yuanhao
    [J]. INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2019, 10 (04) : 717 - 729
  • [6] Multigranulation hesitant Pythagorean fuzzy rough sets and its application in multi-attribute decision making
    Zhou, Jia-Jia
    Yang, Hai-Long
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2019, 36 (06) : 5631 - 5644
  • [7] Multigranulation decision-theoretic rough sets in incomplete information systems
    Yang, Hai-Long
    Guo, Zhi-Lian
    [J]. INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2015, 6 (06) : 1005 - 1018
  • [8] Multigranulation decision-theoretic rough sets in incomplete information systems
    Hai-Long Yang
    Zhi-Lian Guo
    [J]. International Journal of Machine Learning and Cybernetics, 2015, 6 : 1005 - 1018
  • [9] Knowledge reduction of pessimistic multigranulation rough sets in incomplete information systems
    Zhang, Chengling
    Li, Jinjin
    Lin, Yidong
    [J]. SOFT COMPUTING, 2021, 25 (20) : 12825 - 12838
  • [10] On multigranulation rough sets in incomplete information system
    Yang, Xibei
    Song, Xiaoning
    Chen, Zehua
    Yang, Jingyu
    [J]. INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2012, 3 (03) : 223 - 232
12345