Fuzzy sets in approximate reasoning, part 1: inference with possibility distributions
Fuzzy Sets and Systems - Special memorial volume on foundations of fuzzy reasoning
On fuzzy implication operators
Fuzzy Sets and Systems
On the specificity of a possibility distribution
Fuzzy Sets and Systems
Essentials of fuzzy modeling and control
Essentials of fuzzy modeling and control
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
A new class of fuzzy implications, axioms of fuzzy implication revisited
Fuzzy Sets and Systems
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
Lattice structure of e-implications on L*
Information Sciences: an International Journal
Novel methodologies and a comparative study for manufacturing systems performance evaluations
Information Sciences: an International Journal
Two types of implications derived from uninorms
Fuzzy Sets and Systems
A normal form which preserves tautologies and contradictions in a class of fuzzy logics
Journal of Algorithms
Rule reduction for efficient inferencing in similarity based reasoning
International Journal of Approximate Reasoning
On the first place antitonicity in QL-implications
Fuzzy Sets and Systems
Fuzzy Sets and Systems
Xor-Implications and E-Implications: Classes of Fuzzy Implications Based on Fuzzy Xor
Electronic Notes in Theoretical Computer Science (ENTCS)
On the distributivity of fuzzy implications over nilpotent or strict triangular conorms
IEEE Transactions on Fuzzy Systems
QL-implications: Some properties and intersections
Fuzzy Sets and Systems
Information Sciences: an International Journal
On interval fuzzy S-implications
Information Sciences: an International Journal
On dependencies and independencies of fuzzy implication axioms
Fuzzy Sets and Systems
Interval valued QL-implications
WoLLIC'07 Proceedings of the 14th international conference on Logic, language, information and computation
Properties and relations between implication operators
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
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
On a new class of fuzzy implications: h-Implications and generalizations
Information Sciences: an International Journal
Generation of interval-valued fuzzy implications from Kα operators
WILF'11 Proceedings of the 9th international conference on Fuzzy logic and applications
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
Fuzzy implications derived from additive generators of continuous Archimedean t-norms
International Journal of Intelligent Systems
On some properties of threshold generated implications
Fuzzy Sets and Systems
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
A new class of fuzzy implications derived from generalized h-generators
Fuzzy Sets and Systems
Information Sciences: an International Journal
A class of implications related to Yager's f-implications
Information Sciences: an International Journal
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The basic properties required of the multivalued implication operator are introduced. The generation of these operators using the S and R implications is discussed. We suggest two new approaches for obtaining multivalued implications based on the direct use of additive generating functions. Some new classes of implication operators using these generators methods are derived. The role of the multivalued implication within the fuzzy logic based theory of approximate reasoning is described. A discussion of the modus ponens and modus tollens inference paradigms within the framework of fuzzy logic is provided. A visualization method is then used to look at various properties of the implication operator and suggest variations of standard operators. Finally we suggest a rule based approach to defining multivalued implications which allows a user to specify an implication to met their customized performance requirements.