Multigranulation with Different Grades Rough Set in Ordered Information System

被引:0
|
作者
Yu, Jianhang [1 ]
Xu, Weihua [1 ]
机构
[1] Chongqing Univ Technol, Sch Math & Stat, Chongqing 400054, Peoples R China
关键词
Different grades; Graded rough set; multigranulation rough set; Ordered information system; APPROXIMATION;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The the graded rough set and multi-granulation rough set are two significant extended rough set models, both constructed on the the indiscernibility relations. The purpose of this paper is to study the good points of graded rough set in the multi-granulation environment which in different granule have different grades in ordered information system. Three new types multi-granulation with different grades rough set models are proposed, which include optimistic multi-granulation with different grades, pessimistic multi-granulation with different grades and the mean multi-granulation with different grades rough set. Then, their principal structure are studied, and their basic properties are obtained as well. Finally, we study a case about students' achievement estimate the performance of the proposed properties. In the viewpoint of granular computing, our study extension the classical rough set theory.
引用
收藏
页码:903 / 908
页数:6
相关论文
共 50 条
  • [41] 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
  • [42] L-fuzzy multigranulation rough set based on residuated lattices
    Van Thien Le
    Hu, Bao Qing
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2016, 30 (05) : 2821 - 2831
  • [43] Dynamic updating approximations of local generalized multigranulation neighborhood rough set
    Weihua Xu
    Kehua Yuan
    Wentao Li
    [J]. Applied Intelligence, 2022, 52 : 9148 - 9173
  • [44] A multiple-valued logic approach for multigranulation rough set model
    She, Yanhong
    He, Xiaoli
    Shi, Huixian
    Qian, Yuhua
    [J]. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2017, 82 : 270 - 284
  • [45] Pessimistic multigranulation rough bipolar fuzzy set and their application in medical diagnosis
    Asad Mubarak
    Muhammad Shabir
    Waqas Mahmood
    [J]. Computational and Applied Mathematics, 2023, 42
  • [46] Dominance-based Rough Set Approach in Set-valued Ordered Information Systems
    Chen Zichun
    Qin Keyun
    Du Weifeng
    Yang Jilin
    [J]. ISIP: 2009 INTERNATIONAL SYMPOSIUM ON INFORMATION PROCESSING, PROCEEDINGS, 2009, : 67 - +
  • [47] Dynamic updating approximations of local generalized multigranulation neighborhood rough set
    Xu, Weihua
    Yuan, Kehua
    Li, Wentao
    [J]. APPLIED INTELLIGENCE, 2022, 52 (08) : 9148 - 9173
  • [48] 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
  • [49] Rough Fuzzy Set Model for Set-Valued Ordered Fuzzy Decision System
    Bao, Zhongkui
    Yang, Shanlin
    Zhao, Ju
    [J]. ROUGH SETS AND KNOWLEDGE TECHNOLOGY, RSKT 2014, 2014, 8818 : 673 - 682
  • [50] Research on Ordering Objects in Ordered Information Table Based on Rough Set Theory
    Zhang, Jianwei
    Zhang, Baowei
    Qian, Shenyi
    Cai, Zengyu
    [J]. ITESS: 2008 PROCEEDINGS OF INFORMATION TECHNOLOGY AND ENVIRONMENTAL SYSTEM SCIENCES, PT 1, 2008, : 427 - 432