Prioritized, non-pointwise, nonmonotonic intersection and union for commonsense reasoning
Proceedings of the 2nd International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems on Uncertainty and intelligent systems
Aggregation operators: new trends and applications
Aggregation operators: new trends and applications
A small set of axioms for residuated logic
Information Sciences: an International Journal
Fuzzy Implications
Aggregation Functions (Encyclopedia of Mathematics and its Applications)
Aggregation Functions (Encyclopedia of Mathematics and its Applications)
Aggregation Functions: A Guide for Practitioners
Aggregation Functions: A Guide for Practitioners
Distributive equations of implications based on nilpotent triangular norms
International Journal of Approximate Reasoning
Aggregation functions on bounded partially ordered sets and their classification
Fuzzy Sets and Systems
Intersection of Yager's implications with QL and D-implications
International Journal of Approximate Reasoning
Formalization of implication based fuzzy reasoning method
International Journal of Approximate Reasoning
On the characterization of Yager's implications
Information Sciences: an International Journal
Algebraic structures of interval-valued fuzzy ( S,N)-implications
International Journal of Approximate Reasoning
A model for “crisp reasoning” with fuzzy sets
International Journal of Intelligent Systems
A generalization of Yager's f-generated implications
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
Robustness analysis of full implication inference method
International Journal of Approximate Reasoning
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Fuzzy operations acting on entire fuzzy sets with the stress on fuzzy implications are discussed and studied. In the case of binary operations, the input fuzzy sets are fuzzy subsets of possibly different universal spaces X and Y, and the output fuzzy set is a fuzzy subset of the Cartesian product XxY. The standard approach to fuzzy operations is based on functions acting on [0,1], and then these fuzzy operations are called functionally expressible. We give a characterization of functionally expressible fuzzy implications (and other fuzzy operations), and include several examples of fuzzy operations which are not functionally expressible.