Fuzzy sets in approximate reasoning, part 1: inference with possibility distributions
Fuzzy Sets and Systems - Special memorial volume on foundations of fuzzy reasoning
On some new classes of implication operators and their role in approximate reasoning
Information Sciences—Informatics and Computer Science: An International Journal
Yager's new class of implications Jf and some classical tautologies
Information Sciences: an International Journal
On the characterizations of fuzzy implications satisfying I(x,y)=I(x,I(x,y))
Information Sciences: an International Journal
The law of importation for discrete implications
Information Sciences: an International Journal
QL-implications: Some properties and intersections
Fuzzy Sets and Systems
Information Sciences: an International Journal
On the distributivity of implication operators over T and S norms
IEEE Transactions on Fuzzy Systems
A Survey on Fuzzy Implication Functions
IEEE Transactions on Fuzzy Systems
Hi-index | 0.00 |
One class of fuzzy implications is introduced by means of the additive generators of continuous Archimedean t-norms. Basic properties of these implications are discussed. These implications are shown to be different from the known (S,N)-, R-, QL-, and Yager's f- and g-implications. Several functional equations with fuzzy implications are investigated. © 2012 Wiley Periodicals, Inc. © 2012 Wiley Periodicals, Inc.