Revisiting type-2 triangular norms on normal convex fuzzy truth values

被引:2
作者
Wu, Xinxing [1 ,2 ]
Zhu, Zhiyi [3 ]
Chen, Guanrong [4 ]
机构
[1] Guizhou Univ Finance & Econ, Sch Math & Stat, Guiyang 550025, Guizhou, Peoples R China
[2] Zhuhai Coll Sci & Technol, Zhuhai 519041, Guangdong, Peoples R China
[3] Southwest Petr Univ, Sch Sci, Chengdu 610500, Sichuan, Peoples R China
[4] City Univ Hong Kong, Dept Elect Engn, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
Fuzzy truth values; Triangular norm (t-norm); T-NORMS; ALGEBRA; AUTOMORPHISMS; AGGREGATION; NULLNORMS; UNINORMS; SETS;
D O I
10.1016/j.ins.2023.119246
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper studies t-norms on the space L of all normal and convex fuzzy truth values. We first prove that the only non-convolution form type-2 t-norm constructed by Wu et al. satisfies the distributivity law for meet-convolution and show that t-norm in the sense of Walker and Walker is strictly stronger than t ������-norm on L , which is strictly stronger than t-norm on L. Furthermore, we characterize some restrictive axioms of t ������-norms for convolution operations on L and obtain some necessary conditions for t ������-(co)norm convolution operations on L.
引用
收藏
页数:13
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