Interval valued versions of T-conorms, fuzzy negations and fuzzy implications

被引:29
|
作者
Bedregal, Benjamin Callejas [1 ]
Takahashi, Adriana [1 ]
机构
[1] Univ Fed Rio Grande do Norte, Dept Informat & Appl Math, Lab Log & Computat Intelligence, Campus Univ S-N,Lagoa Nova, BR-59072970 Natal, RN, Brazil
关键词
D O I
10.1109/FUZZY.2006.1681975
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
There exists infinitely many way to extend the classical propositional connectives to the set [0, 1] such that the behavior in their extremes are as in the classical logic. Still, is a consensus that it is not sufficient, demanding that these extensions also preserves some logical properties of the classical. connectives. Thus, were introduced the notions of t-norms, t-conorms, fuzzy negations, and fuzzy implications. In a previous work, the authors generalize the t-norm notion to the set I = {[a, b] : 0 <= a <= b <= 1}, named interval t-norms, and provided canonical constructions to obtain an interval t-norm which is the best interval representation of the t-norm. In this paper, we generalize the notions of t-conorm, fuzzy negation and fuzzy implication to the set I and provide canonical constructions to obtain their best interval representations. We will also provide a way to obtain: an interval fuzzy t-conorm from an interval t-norm and an interval fuzzy negation, an interval fuzzy implication from an interval t-norm, and an interval fuzzy negation from an interval fuzzy implication. We also prove several properties for this constructions.
引用
收藏
页码:1981 / +
页数:2
相关论文
共 50 条
  • [31] Multi-valued t-norms and t-conorms
    Kehagias, A
    Serafimidis, K
    [J]. PROCEEDINGS OF THE 7TH JOINT CONFERENCE ON INFORMATION SCIENCES, 2003, : 241 - 244
  • [32] On Fuzzy Negations Generated by Fuzzy Implications
    Grabowski, Adam
    [J]. FORMALIZED MATHEMATICS, 2020, 28 (01): : 121 - 128
  • [33] Multi-valued t-norms and t-conorms
    Kehagias, A
    Serafimidis, K
    [J]. PROCEEDINGS OF THE 7TH JOINT CONFERENCE ON INFORMATION SCIENCES, 2003, : 84 - 87
  • [34] Measure of a fuzzy set based on an arbitrary continuous t-conorms: The finite case
    Bertoluzza, C
    Bodini, A
    [J]. FUZZ-IEEE '96 - PROCEEDINGS OF THE FIFTH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, 1996, : 302 - 305
  • [35] A Banach contraction principle in fuzzy metric spaces defined by means of t-conorms
    Valentín Gregori
    Juan-José Miñana
    [J]. Revista de la Real Academia de Ciencias Exactas, Físicas y Naturales. Serie A. Matemáticas, 2021, 115
  • [36] Negations, strict monotonic t-norms and t-conorms for finite ordinal scales
    Batyrshin, IZ
    Batyrshin, II
    [J]. PROCEEDINGS OF THE 8TH JOINT CONFERENCE ON INFORMATION SCIENCES, VOLS 1-3, 2005, : 50 - 53
  • [37] A family of multi-valued t-norms and t-conorms
    Kehagias, Athanasios
    [J]. Computational Intelligence Based on Lattice Theory, 2007, 67 : 341 - 360
  • [38] Fuzzy Implications Generating from Fuzzy Negations
    Souliotis, Georgios
    Papadopoulos, Basil
    [J]. ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2018, PT I, 2018, 11139 : 736 - 744
  • [39] Hesitant Intuitionistic Fuzzy Aggregation Operators Based on the Archimedean t-Norms and t-Conorms
    Peng, Juan-juan
    Wang, Jian-qiang
    Wu, Xiao-hui
    Tian, Chao
    [J]. INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2017, 19 (03) : 702 - 714
  • [40] Hesitant Intuitionistic Fuzzy Aggregation Operators Based on the Archimedean t-Norms and t-Conorms
    Juan-juan Peng
    Jian-qiang Wang
    Xiao-hui Wu
    Chao Tian
    [J]. International Journal of Fuzzy Systems, 2017, 19 : 702 - 714