Chebyshev distances associated to the second members of systems of Max-product/Lukasiewicz Fuzzy relational equations
This work addresses a theoretical problem in fuzzy logic for researchers, but it is incremental as it extends existing methods to new equation types.
The paper tackles the inconsistency of systems of max-product and max-Lukasiewicz fuzzy relational equations by providing explicit analytical formulas to compute the Chebyshev distance for their second members, analogous to a prior result for max-min systems.
In this article, we study the inconsistency of a system of $\max$-product fuzzy relational equations and of a system of $\max$-Lukasiewicz fuzzy relational equations. For a system of $\max-\min$ fuzzy relational equations $A \Box_{\min}^{\max} x = b$ and using the $L_\infty$ norm, (Baaj, 2023) showed that the Chebyshev distance $Δ= \inf_{c \in \mathcal{C}} \Vert b - c \Vert$, where $\mathcal{C}$ is the set of second members of consistent systems defined with the same matrix $A$, can be computed by an explicit analytical formula according to the components of the matrix $A$ and its second member $b$. In this article, we give analytical formulas analogous to that of (Baaj, 2023) to compute the Chebyshev distance associated to the second member of a system of $\max$-product fuzzy relational equations and that associated to the second member of a system of $\max$-Lukasiewicz fuzzy relational equations.