2017
DOI: 10.1016/j.fss.2016.02.004
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Minimal solutions of general fuzzy relation equations on linear carriers. An algebraic characterization

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Cited by 37 publications
(22 citation statements)
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“…Since A i • R = B i is a fuzzy set on Y whose membership degrees are fully defined, we can prove that (11), (12) and (13). Property (11) provides the general relation of the inferred outputs A i • R and the consequents B i , that they can be incomparable only at the values y ∈ Y such that (A i • R )(y) = .…”
Section: Sup-t Systemmentioning
confidence: 90%
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“…Since A i • R = B i is a fuzzy set on Y whose membership degrees are fully defined, we can prove that (11), (12) and (13). Property (11) provides the general relation of the inferred outputs A i • R and the consequents B i , that they can be incomparable only at the values y ∈ Y such that (A i • R )(y) = .…”
Section: Sup-t Systemmentioning
confidence: 90%
“…Sketch of the proof: Using (16)- (17) we can prove (22) in a similar way to the proof of (13). In particular, we first prove ↓ R ⊆R S .…”
Section: Sup-t Systemmentioning
confidence: 94%
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“…1,2 In the literature, we can find many papers dealing with the resolution of (systems of) FREs defined with either the max-min composition, [3][4][5][6] the max-product composition, 7-10 the max-Archimedean t-norm composition, [11][12][13] or other different compositions. [14][15][16][17][18][19][20][21][22][23][24] In what regards to the applied perspective, it is important to emphasize that FREs have increased the range of applications of fuzzy sets theory. The compression and decompression of images and videos, 25 the modelling of fuzzy inference systems in fuzzy control, 26 and the representation of restrictions in optimization problems, [27][28][29][30] among others, are some of the most recent applications of FREs based on max-t-norm compositions.…”
Section: Introductionmentioning
confidence: 99%