Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
T-norm-based logics with an independent involutive negation
Fuzzy Sets and Systems
Interpolating between fuzzy rules using improper S-implications
International Journal of Approximate Reasoning
On two types of discrete implications
International Journal of Approximate Reasoning
A Survey on Fuzzy Implication Functions
IEEE Transactions on Fuzzy Systems
Two types of implications derived from uninorms
Fuzzy Sets and Systems
T-norm-based limit theorems for fuzzy random variables
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
A characterization of residual implications derived from left-continuous uninorms
Information Sciences: an International Journal
Distributive equations of implications based on nilpotent triangular norms
International Journal of Approximate Reasoning
On a new class of fuzzy implications: h-Implications and generalizations
Information Sciences: an International Journal
IUKM'11 Proceedings of the 2011 international conference on Integrated uncertainty in knowledge modelling and decision making
Intersection of Yager's implications with QL and D-implications
International Journal of Approximate Reasoning
On the characterization of Yager's implications
Information Sciences: an International Journal
Threshold generation method of construction of a new implication from two given ones
Fuzzy Sets and Systems
A generalization of Yager's f-generated implications
International Journal of Approximate Reasoning
On the vertical threshold generation method of fuzzy implication and its properties
Fuzzy Sets and Systems
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In fuzzy logic, connectives have a meaning that, can frequently be known through the use of these connectives in a given context. This implies that there is not a universal-class for each type of connective, and because of that several continuous t-norms, continuous t-conorms and strong negations, are employed to represent, respectively, the and, the or, and the not. The same happens with the case of the connective If/then for which there is a multiplicity of models called T-conditionals or implications. To reinforce that there is not a universal-class for this connective, four very simple classical laws translated into fuzzy logic are studied.