Algebraic structure through interval-valued fuzzy signature based on interval-valued fuzzy sets

被引:1
|
作者
Palanisamy, Sangeetha [1 ]
Periyasamy, Jayaraman [1 ]
机构
[1] Bharathiar Univ, Dept Appl Math, Coimbatore 641046, Tamil Nadu, India
关键词
Fuzzy sets; Interval-valued fuzzy sets; Interval-valued fuzzy signatures; Lattice; Meet and join operators; ORDER;
D O I
10.1007/s41066-023-00372-3
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper delivers three different ways to establish the initial structure of the interval-valued fuzzy signature (IVFSig). In recent years, interval-valued fuzzy set theory has proven more capable of dealing with uncertainty and vagueness than fuzzy set theory due to its increased flexibility. Therefore, the primary goal of this work is to develop an algebraic framework for an IVFSig based on the aspects of an interval-valued fuzzy set (IVFS). First, the IVFSig's are constructed with the aid of IVFSs, which may be considered the truth values of IVFSs. Second, the families of IVFSig's, as well as meet and join operators, are formulated, and then their lattice algebraic structure is verified. Third, the relation of partial ordering is established in an IVFSig family. Precisely, the addressed design is compared with recent well-known framework. Finally, the numerical illustrations provide a higher degree of representation than other existing framework.
引用
收藏
页码:1081 / 1096
页数:16
相关论文
共 50 条
  • [41] Generalized Interval-Valued Fuzzy Variable Precision Rough Sets
    Hu, Bao Qing
    Wong, Heung
    INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2014, 16 (04) : 554 - 565
  • [42] Fuzzy linear programming based on statistical confidence interval and interval-valued fuzzy set
    Chiang, JS
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2001, 129 (01) : 65 - 86
  • [43] On the construction of interval-valued fuzzy morphological operators
    Melange, Tom
    Nachtegael, Mike
    Sussner, Peter
    Kerre, Etienne E.
    FUZZY SETS AND SYSTEMS, 2011, 178 (01) : 84 - 101
  • [44] Transitive Closure of Interval-valued Fuzzy Relations
    Ramón González-del-Campo
    Luis Garmendia
    Jordi Recasens
    International Journal of Computational Intelligence Systems, 2013, 6 : 648 - 657
  • [45] Transitive Closure of Interval-valued Fuzzy Relations
    Gonzalez-del-Campo, Ramon
    Garmendia, Luis
    Recasens, Jordi
    INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, 2013, 6 (04) : 648 - 657
  • [46] On the Decomposition of Interval-Valued Fuzzy Morphological Operators
    Tom Mélange
    Mike Nachtegael
    Peter Sussner
    Etienne E. Kerre
    Journal of Mathematical Imaging and Vision, 2010, 36 : 270 - 290
  • [47] Representability in interval-valued fuzzy set theory
    Deschrijver, Glad
    Cornelis, Chris
    INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, 2007, 15 (03) : 345 - 361
  • [48] Robustness of the interval-valued fuzzy inference algorithms
    Luo, M. X.
    Wu, L. X.
    Fu, L.
    DATA SCIENCE AND KNOWLEDGE ENGINEERING FOR SENSING DECISION SUPPORT, 2018, 11 : 109 - 116
  • [49] On the Decomposition of Interval-Valued Fuzzy Morphological Operators
    Melange, Tom
    Nachtegael, Mike
    Sussner, Peter
    Kerre, Etienne E.
    JOURNAL OF MATHEMATICAL IMAGING AND VISION, 2010, 36 (03) : 270 - 290
  • [50] A bipolar-valued fuzzy set is an intersected interval-valued fuzzy set
    Hu, Bao Qing
    Yiu, Ka-fai Cedric
    INFORMATION SCIENCES, 2024, 657