A Characterization Theorem for t-Representable n-Dimensional Triangular Norms

被引:0
|
作者
Bedregal, Benjamin [1 ]
Beliakov, Gleb [2 ]
Bustince, Humberto [3 ]
Calvo, Tomasa [4 ]
Fernandez, Javier [3 ]
Mesiar, Radko [5 ]
机构
[1] Univ Fed Rio Grande do Norte, Dept Informat & Appl Math, BR-59072970 Natal, RN, Brazil
[2] Deakin Univ, Sch Engn & Informat Technol, Geelong, Vic 3217, Australia
[3] Univ Publ Navarra, Dept Automat & Comp, Pamplona, Spain
[4] Univ Alcala, Dept Automat Comp, Madrid, Spain
[5] Slovak Tech Univ, Bratislava, Slovakia
基金
美国国家科学基金会;
关键词
INTERVAL-VALUED FUZZY; INTUITIONISTIC FUZZY;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
n-dimensional fuzzy sets are an extension of fuzzy sets that includes interval-valued fuzzy sets and interval-valued Atanassov intuitionistic fuzzy sets. The membership values of n-dimensional fuzzy sets are n-tuples of real numbers in the unit interval [0, 1], called n-dimensional intervals, ordered in increasing order. The main idea in n-dimensional fuzzy sets is to consider several uncertainty levels in the memberships degrees. Triangular norms have played an important role in fuzzy sets theory, in the narrow as in the broad sense. So it is reasonable to extend this fundamental notion for n-dimensional intervals. In interval-valued fuzzy theory, interval-valued t-norms are related with t-norms via the notion of t-representability. A characterization of t-representable interval-valued t-norms is given in term of inclusion monotonicity. In this paper we generalize the notion of t-representability for n-dimensional t-norms and provide a characterization theorem for that class of n-dimensional t-norms.
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页码:103 / +
页数:3
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