A Simple Modal Logic for Reasoning in Multigranulation Rough Set Model

被引:2
|
作者
Khan, Md Aquil [1 ]
Patel, Vineeta Singh [1 ]
机构
[1] Indian Inst Technol Indore, Indore 453552, Madhya Pradesh, India
关键词
Rough set theory; lower and upper approximations; modal logics; axiomatization; MEMBERSHIP;
D O I
10.1145/3274664
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The notions of strong/weak approximations have been studied extensively in recent years. These approximations are based on a structure of the form (W, {R-i}(i is an element of N)), called the multiple-source approximation system, where R-i is an equivalence relation on W, and N is an initial segment of the set N of natural numbers. We propose and explore a simple modal language and semantics that can be used to reason about the strong/weak approximations of concepts. Moreover, our study is not confined to collections of equivalence relations only, but other types of relations are also considered. This study is important, keeping in view the notions of generalized approximation spaces with relations other than equivalence.
引用
收藏
页数:23
相关论文
共 50 条
  • [31] LINEAR REASONING IN MODAL LOGIC
    FITTING, M
    [J]. JOURNAL OF SYMBOLIC LOGIC, 1984, 49 (04) : 1363 - 1378
  • [32] On the rough consistency measures of logic theories and approximate reasoning in rough logic
    She, Yanhong
    [J]. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2014, 55 (01) : 486 - 499
  • [33] Pawlak rough set model, medical reasoning and rule mining
    Tsumoto, Shusaku
    [J]. Rough Sets and Current Trends in Computing, Proceedings, 2006, 4259 : 53 - 70
  • [34] Multigranulation Decision-theoretic Rough Set in Ordered Information System
    Li, Wentao
    Xu, Weihua
    [J]. FUNDAMENTA INFORMATICAE, 2015, 139 (01) : 67 - 89
  • [35] Vector-based approaches for computing approximations in multigranulation rough set
    Yu, Peiqiu
    Li, Jinjin
    Lin, Guoping
    [J]. JOURNAL OF ENGINEERING-JOE, 2018, (16): : 1538 - 1543
  • [36] 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
  • [37] Dynamic updating approximations of local generalized multigranulation neighborhood rough set
    Weihua Xu
    Kehua Yuan
    Wentao Li
    [J]. Applied Intelligence, 2022, 52 : 9148 - 9173
  • [38] 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
  • [39] Research on rough set theory extension and rough reasoning
    Jiang, YL
    Xu, CF
    Gou, J
    Li, ZX
    [J]. 2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7, 2004, : 5888 - 5893
  • [40] Updating knowledge in multigranulation decision-theoretic rough set model based on decision support degree
    Lin, Guoping
    Liu, Fengling
    Chen, Shengyu
    Yu, Xiaolong
    [J]. JOURNAL OF ENGINEERING-JOE, 2020, 2020 (13): : 335 - 343