English

Maximal Consistent Subsystems of Max-T Fuzzy Relational Equations

Artificial Intelligence 2023-11-07 v1 Logic in Computer Science

Abstract

In this article, we study the inconsistency of a system of maxT\max-T fuzzy relational equations of the form ATmaxx=bA \Box_{T}^{\max} x = b, where TT is a t-norm among min\min, the product or Lukasiewicz's t-norm. For an inconsistent maxT\max-T system, we directly construct a canonical maximal consistent subsystem (w.r.t the inclusion order). The main tool used to obtain it is the analytical formula which compute the Chebyshev distance Δ=infcCbc\Delta = \inf_{c \in \mathcal{C}} \Vert b - c \Vert associated to the inconsistent maxT\max-T system, where C\mathcal{C} is the set of second members of consistent systems defined with the same matrix AA. Based on the same analytical formula, we give, for an inconsistent maxmin\max-\min system, an efficient method to obtain all its consistent subsystems, and we show how to iteratively get all its maximal consistent subsystems.

Cite

@article{arxiv.2311.03059,
  title  = {Maximal Consistent Subsystems of Max-T Fuzzy Relational Equations},
  author = {Ismaïl Baaj},
  journal= {arXiv preprint arXiv:2311.03059},
  year   = {2023}
}
R2 v1 2026-06-28T13:12:36.775Z