Fuzzy sets in approximate reasoning, part 1: inference with possibility distributions
Fuzzy Sets and Systems - Special memorial volume on foundations of fuzzy reasoning
A first course in fuzzy logic
A new class of fuzzy implications, axioms of fuzzy implication revisited
Fuzzy Sets and Systems
On a class of distributive fuzzy implications
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems - Special issue on aggregation operators
Contrapositive symmetry of distributive fuzzy implications
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Automorphisms, negations and implication operators
Fuzzy Sets and Systems - Implication operators
On some new classes of implication operators and their role in approximate reasoning
Information Sciences—Informatics and Computer Science: An International Journal
Distributivity of residual implications over conjunctive and disjunctive uninorms
Fuzzy Sets and Systems
On the characterizations of (S,N)-implications
Fuzzy Sets and Systems
Combinatorial rule explosion eliminated by a fuzzy rule configuration
IEEE Transactions on Fuzzy Systems
Comments on “Combinatorial rule explosion eliminated by a fuzzy rule configuration” [and reply]
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Comment on “Combinatorial rule explosion eliminated by a fuzzy rule configuration” [and reply]
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
On the law [p∧q→r]=[(p→r)V(q→r)] in fuzzy logic
IEEE Transactions on Fuzzy Systems
On the distributivity of implication operators over T and S norms
IEEE Transactions on Fuzzy Systems
On the distributivity of fuzzy implications over representable uninorms
Fuzzy Sets and Systems
Distributive equations of implications based on nilpotent triangular norms
International Journal of Approximate Reasoning
On the distributivity of fuzzy implications over continuous archimedean triangular norms
ICAISC'10 Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I
WILF'11 Proceedings of the 9th international conference on Fuzzy logic and applications
IUKM'11 Proceedings of the 2011 international conference on Integrated uncertainty in knowledge modelling and decision making
On the characterization of Yager's implications
Information Sciences: an International Journal
A generalization of Yager's f-generated implications
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
Information Sciences: an International Journal
Distributivity equations of implications based on continuous triangular conorms (II)
Fuzzy Sets and Systems
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Recently, many works have appeared in this very journal dealing with the distributivity of fuzzy implications over t-norms and t-conorms. These equations have a very important role to play in efficient inferencing in approximate reasoning, especially fuzzy control systems. Of all the four equations considered, the equation I(x, S1 (y, z)) = S2 (I(x, y), I(x, z)), when S1, S2 are both t-conorms and I is an R-implication obtained from a strict t-norm, was not solved. In this paper, we characterize functions I that satisfy the previous functional equation when S1, S2 are either both strict or nilpotent t-conorms. Using the obtained characterizations, we show that the previous equation does not hold when S1, S2 are either both strict or nilpotent t-conorms, and I is a continuous fuzzy implication. Moreover, the previous equation does not hold when I is an R-implication obtained from a strict t-norm, and S1, S2 are both strict t-conorms, while it holds for an R-implication I obtained from a strict t-norm T if and only if the t-conorms S1 = S2 are Φ-conjugate to the Łukasiewicz t-conorm for some increasing bijection ϕ of the unit interval, which is also a multiplicative generator of T.