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Aggregating Fuzzy Implications
Information Sciences, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Renata Reiser +2 more
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Multidimensional fuzzy implications
International Journal of Approximate Reasoning, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Landerson Santiago +1 more
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On the distributivity of fuzzy implications and the weighted S-implications [PDF]
International Journal of Approximate Reasoning, 2021 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
József Dombi 0001 +1 more
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Copulas and fuzzy implications
International Journal of Approximate Reasoning, 2020A significant part of our knowledge is formulated in terms of imprecise (``fuzzy'') words like ``small''. A natural way to describe such knowledge is to assign, to each possible value of the corresponding quantity \(x\), the expert's degree of confidence that this value satisfies the given property (e.g., that \(x\) is small).
Mesiar, Radko, Kolesárová, Anna
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2006 IEEE International Conference on Fuzzy Systems, 2006
In this paper we introduce a fuzzy implication. The proposed fuzzy implication does not belong in one of the well known three general classes of fuzzy implications (S-implications, R-implications and QL-implications). Also we give an extended model of this fuzzy implication in intuitionistic fuzzy set and/or interval-valued fuzzy sets.
Anestis G. Hatzimichailidis +2 more
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In this paper we introduce a fuzzy implication. The proposed fuzzy implication does not belong in one of the well known three general classes of fuzzy implications (S-implications, R-implications and QL-implications). Also we give an extended model of this fuzzy implication in intuitionistic fuzzy set and/or interval-valued fuzzy sets.
Anestis G. Hatzimichailidis +2 more
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Advances in Fuzzy Implication Functions
Studies in Fuzziness and Soft Computing, 2013 Fuzzy implication functions are one of the main operations in fuzzy logic. They generalize the classical implication, which takes values in the set {0,1}, to fuzzy logic, where the truth values belong to the unit interval [0,1].
Baczyński, Michał +3 more
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Xor-Implications and E-Implications: Classes of Fuzzy Implications Based on Fuzzy Xor
Electronic Notes in Theoretical Computer Science, 2009 AbstractThe main contribution of this paper is to introduce an autonomous definition of the connective “fuzzy exclusive or” (fuzzy Xor, for short), which is independent from others connectives. Also, two canonical definitions of the connective Xor are obtained from the composition of fuzzy connectives, and based on the commutative and associative ...
Graçaliz Pereira Dimuro +2 more
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Fuzzy Sets and Systems, 2009
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Balasubramaniam Jayaram, Radko Mesiar
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Balasubramaniam Jayaram, Radko Mesiar
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FUZZY INCLUSION AND FUZZY SIMILARITY WITH GÖDEL FUZZY IMPLICATOR [PDF]
New Mathematics and Natural Computation, 2009 Fuzzy inclusion and fuzzy similarity are introduced as mappings which produce fuzzy sets constructed with the help of Gödel implicator. The properties of resulting fuzzy sets of inclusion and similarity are studied in detail. Some axiomatic characteristics for being fuzzy orders and fuzzy equivalence relations are also included.
ISMAT BEG, SAMINA ASHRAF
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Knowledge-Based Systems, 2013
The aim of this paper is to provide the semantical and syntactical characteristics of fuzzy decision implications, an expression concerning two systems of fuzzy-sets. This Pavelka-style fuzzy logic starts from a fuzzy set of fuzzy decision implications and makes deductions from partially true decision implications.
Yanhui Zhai, Deyu Li 0001, Kaishe Qu
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The aim of this paper is to provide the semantical and syntactical characteristics of fuzzy decision implications, an expression concerning two systems of fuzzy-sets. This Pavelka-style fuzzy logic starts from a fuzzy set of fuzzy decision implications and makes deductions from partially true decision implications.
Yanhui Zhai, Deyu Li 0001, Kaishe Qu
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