2011
DOI: 10.1016/j.ins.2011.03.004
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On fuzzy relational equations and the covering problem

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Cited by 88 publications
(34 citation statements)
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“…for all x, y ∈ R. This operator is a u-norm if w 1 , w 2 > 0 and 0 < r < ∞ [32]. If we consider w 1 = w 2 = 0.5 and r = 1, then we have that M 0.5,0.5,1 (x, y) = 0.5x + 0.5 y, for all x, y ∈ R and this u-norm cannot have adjoint implications, since the conjunctor of an adjoint triple satisfies that ⊥ & y = ⊥ (Proposition 20 (2)) and, in this case, M 0.5,0.5,1 (0, y) = y 2 = 0, for all y ∈ R \ {0}.…”
Section: Semi-uninormsmentioning
confidence: 99%
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“…for all x, y ∈ R. This operator is a u-norm if w 1 , w 2 > 0 and 0 < r < ∞ [32]. If we consider w 1 = w 2 = 0.5 and r = 1, then we have that M 0.5,0.5,1 (x, y) = 0.5x + 0.5 y, for all x, y ∈ R and this u-norm cannot have adjoint implications, since the conjunctor of an adjoint triple satisfies that ⊥ & y = ⊥ (Proposition 20 (2)) and, in this case, M 0.5,0.5,1 (0, y) = y 2 = 0, for all y ∈ R \ {0}.…”
Section: Semi-uninormsmentioning
confidence: 99%
“…Nonetheless, these operators were considered with the main purpose of solving the fuzzy relation equations with u-norms introduced in [32], the authors so consider continuous u-norms and so, these operators have adjoint implications [38]. Therefore, these u-norms are a particular case of a conjunctor in an adjoint triple.…”
Section: Semi-uninormsmentioning
confidence: 99%
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“…Lin [17] extended Markovskii's work to fuzzy relational equations with max-Archimedean-t-norm composition. Further, Lin [18] investigated fuzzy relational equations with u-norm and transformed the problem of solving a system of fuzzy relational equations into covering problem. In 2012, Shieh [26] developed an efficient algorithm for finding minimal coverings.…”
Section: Introductionmentioning
confidence: 99%
“…In 2012, Shieh [26] developed an efficient algorithm for finding minimal coverings. In fact, Lin [17,18] and Shieh [26] discussed the relations between the minimal solutions of the equations and the irredundant coverings. However, fuzzy relational equations with inf-implication composition have no minimal solutions, there are maximal solutions of the equations, in this paper, we discuss fuzzy relational equations with inf-implication composition on [0,1].…”
Section: Introductionmentioning
confidence: 99%