More on intuitionistic fuzzy sets
Fuzzy Sets and Systems
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
A more efficient method for defining fuzzy connectives
Fuzzy Sets and Systems
On the representation of intuitionistic fuzzy t-norms and t-conorms
IEEE Transactions on Fuzzy Systems
On the characterizations of (S,N)-implications
Fuzzy Sets and Systems
Sufficient and necessary conditions for Boolean fuzzy systems as universal approximators
Information Sciences: an International Journal
A characterization of interval-valued residuated lattices
International Journal of Approximate Reasoning
Interval-Valued Fuzzy Formal Concept Analysis
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Interval-Valued Fuzzy Galois Connections: Algebraic Requirements and Concept Lattice Construction
Fundamenta Informaticae - Methodologies for Intelligent Systems
Robustness of interval-valued fuzzy inference
Information Sciences: an International Journal
RSFDGrC'11 Proceedings of the 13th international conference on Rough sets, fuzzy sets, data mining and granular computing
The use of linguistic variables and fuzzy propositions in the L-Fuzzy concept theory
Computers & Mathematics with Applications
Algebraic structures of interval-valued fuzzy ( S,N)-implications
International Journal of Approximate Reasoning
Complete solution sets of inf → interval-valued fuzzy relation equations
Information Sciences: an International Journal
Residual implications on the set of discrete fuzzy numbers
Information Sciences: an International Journal
Interval type-2 fuzzy logic for encoding clinical practice guidelines
Knowledge-Based Systems
Information Sciences: an International Journal
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In this paper, a new characterization for the interval-valued fuzzy implication operators is presented, which provides a simple way to construct interval valued fuzzy implication operators from a given fuzzy implication operator using aggregation operators. This method will be used for defining the interval-valued fuzzy R- and S-implications. Finally, some examples of the interval-valued fuzzy implications built by this constructive method and a comparative study among them are shown.