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Maximal Consistent Subsystems of Max-T Fuzzy Relational Equations

Published 6 Nov 2023 in cs.AI and cs.LO | (2311.03059v1)

Abstract: In this article, we study the inconsistency of a system of maxT\max-T fuzzy relational equations of the form AT<sup>max</sup>x=bA \Box_{T}<sup>{\max}</sup> 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.

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