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20232026
most citedMax-min Learning of Approximate Weight Matrices from Fuzzy Data

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2026

Probabilistic classification from possibilistic data: computing Kullback-Leibler projection with a possibility distribution

Ismaïl Baaj, Pierre Marquis

We consider learning with possibilistic supervision for multi-class classification. For each training instance, the supervision is a normalized possibility distribution that expres…

cs.AI2025

Approximate matrices of systems of max-min fuzzy relational equations

Ismaïl Baaj

In this article, we address the inconsistency of a system of max-min fuzzy relational equations by minimally modifying the matrix governing the system in order to achieve consisten…

cs.AI2023

Maximal Consistent Subsystems of Max-T Fuzzy Relational Equations

Ismaïl Baaj

In this article, we study the inconsistency of a system of fuzzy relational equations of the form , where is a t-norm among , the produc…

cs.AI2023

Handling the inconsistency of systems of fuzzy relational equations

Ismaïl Baaj

In this article, we study the inconsistency of systems of fuzzy relational equations. We give analytical formulas for computing the Chebyshev distances $\nabla =…

cs.AI2023

Chebyshev distances associated to the second members of systems of Max-product/Lukasiewicz Fuzzy relational equations

Ismaïl Baaj

In this article, we study the inconsistency of a system of -product fuzzy relational equations and of a system of -Lukasiewicz fuzzy relational equations. For a system…

cs.AI2023★ 1 cited

Max-min Learning of Approximate Weight Matrices from Fuzzy Data

Ismaïl Baaj

In this article, we study the approximate solutions set of an inconsistent system of fuzzy relational equations . Using the $L_\inf…