Revisiting type-2 triangular norms on normal convex fuzzy truth values (2003.11953v3)

Abstract: This paper studies t-norms on the space $\mathbf{L}$ 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${r}$-norm on $\mathbf{L}$, which is strictly stronger than t-norm on $\mathbf{L}$. Furthermore, we characterize some restrictive axioms of t${r}$-norms for convolution operations on $\mathbf{L}$ and obtain some necessary conditions for t$_{r}$-(co)norm convolution operations on $\mathbf{L}$ .