The degree of reflexivity of fuzzy relations in terms of left-continuous t-norms

被引:0
|
作者
Dan, Yexing [1 ]
Pan, Xiaodong [1 ]
Qiao, Junsheng [2 ]
机构
[1] Southwest Jiaotong Univ, Sch Math, Chengdu 611756, Peoples R China
[2] Northwest Normal Univ, Coll Math & Stat, Lanzhou 730070, Peoples R China
来源
COMPUTATIONAL & APPLIED MATHEMATICS | 2025年 / 44卷 / 01期
基金
中国国家自然科学基金;
关键词
Left-continuous t-norm; Fuzzy relation; Fuzzy equality; Degree of reflexivity; <italic>R</italic>-implication; RELATION INEQUALITIES; SIMILARITY RELATIONS; INDICATORS;
D O I
10.1007/s40314-024-03052-3
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, we explore the degree of reflexivity of fuzzy relations. We mainly focus on exploring two new types of the degree of reflexivity of fuzzy relations (we briefly call them as the type-II degree of reflexivity and the type-III degree of reflexivity) that are different from the existing degree of reflexivity of fuzzy relations in the literature (we briefly call it as the type-I degree of reflexivity). The notion of the type-II degree of reflexivity is introduced through the use of the type-I degree of reflexivity and R-implications derived from left-continuous t-norms, while the notion of the type-III degree of reflexivity is introduced through the use of fuzzy equalities based on R-implications derived from left-continuous t-norms. We also illustrate that these three types of the degree of reflexivity are not equal to each other in general, and further characterize when they are equal to each other. Moreover, it is shown that the type-I degree of reflexivity and the type-III degree of reflexivity preserve fuzzy equalities, while the type-II degree of reflexivity does not preserve fuzzy equalities in general. We also characterize when the type-II degree of reflexivity preserves fuzzy equalities. Finally, we show that for continuous t-norms or the nilpotent minimum t-norm, and for a given fuzzy relation R on a set X, there exists a sub-epsilon\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\varepsilon $$\end{document}-reflexive (epsilon is an element of[0,1])\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$(\varepsilon \in [0,1])$$\end{document} fuzzy relation S on X, which is close enough to R with respect to fuzzy equalities, such that the degree of the fuzzy equality between S and R is the type-III degree of reflexivity of R.
引用
收藏
页数:26
相关论文
共 50 条
  • [21] Infinite fuzzy relation equations with continuous t-norms
    Shieh, Bih-Sheue
    INFORMATION SCIENCES, 2008, 178 (08) : 1961 - 1967
  • [22] Standard fuzzy uniform structures based on continuous t-norms
    Gutierrez Garcia, J.
    Romaguera, S.
    Sanchis, M.
    FUZZY SETS AND SYSTEMS, 2012, 195 : 75 - 89
  • [23] Solutions of fuzzy relation equations based on continuous t-norms
    Shieh, Bih-Sheue
    INFORMATION SCIENCES, 2007, 177 (19) : 4208 - 4215
  • [24] Basic Fuzzy Logic is the logic of continuous t-norms and their residua
    R. Cignoli
    F. Esteva
    L. Godo
    A. Torrens
    Soft Computing, 2000, 4 (2) : 106 - 112
  • [25] Fuzzy implication functions based on powers of continuous t-norms
    Massanet, Sebastia
    Recasens, Jordi
    Torrens, Joan
    INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2017, 83 : 265 - 279
  • [26] Lattice ordered monoids and left continuous uninorms and t-norms
    Takacs, Marta
    THEORETICAL ADVANCES AND APPLICATIONS OF FUZZY LOGIC AND SOFT COMPUTING, 2007, 42 : 565 - +
  • [27] On Fuzzy Implication Functions Defined Using Powers of Continuous t-norms
    Massanet, Sebastia
    Recasens, Jordi
    Torrens, Joan
    2017 JOINT 17TH WORLD CONGRESS OF INTERNATIONAL FUZZY SYSTEMS ASSOCIATION AND 9TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS (IFSA-SCIS), 2017,
  • [28] Characterizations of Fuzzy Implications Generated by Continuous Multiplicative Generators of T-Norms
    Zhou, Hongjun
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2021, 29 (10) : 2988 - 3002
  • [29] Continuous Archimedean t-norms and their bounds
    Marko, V
    Mesiar, R
    FUZZY SETS AND SYSTEMS, 2001, 121 (02) : 183 - 190
  • [30] Generalizing the migrativity of continuous t-norms
    Ouyang, Yao
    FUZZY SETS AND SYSTEMS, 2013, 211 : 73 - 83