Inference with a single fuzzy conditional proposition
Fuzzy Sets and Systems
Presumption and prejudice in logical inference
International Journal of Approximate Reasoning
The choice of ply operator in fuzzy intelligent systems
Fuzzy Sets and Systems
Fuzzy sets in approximate reasoning, part 1: inference with possibility distributions
Fuzzy Sets and Systems - Special memorial volume on foundations of fuzzy reasoning
A review and comparison of six reasoning methods
Fuzzy Sets and Systems
Combination of rules or their consequences in fuzzy expert systems
Fuzzy Sets and Systems - Special issue on expert decision support systems
What are fuzzy rules and how to use them
Fuzzy Sets and Systems - Special issue dedicated to the memory of Professor Arnold Kaufmann
Fuzzy Sets in Approximate Reasoning and Information Systems
Fuzzy Sets in Approximate Reasoning and Information Systems
Computationally efficient reasoning using approximated fuzzy intervals
Fuzzy Sets and Systems
Rule reduction for efficient inferencing in similarity based reasoning
International Journal of Approximate Reasoning
Relational compositions in Fuzzy Class Theory
Fuzzy Sets and Systems
Practical inference with systems of gradual implicative rules
IEEE Transactions on Fuzzy Systems
The logic of tied implications, part 1: Properties, applications and representation
Fuzzy Sets and Systems
Issues on adjointness in multiple-valued logics
Information Sciences: an International Journal
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We consider a multiple-rule, generalized modus ponens inference scheme, with an interpretation based on compositional rule of inference (CRI) and a residuated implication. We show that such a system is equivalent, as far as CRI is concerned, to a system that satisfies the "basic requirement for fuzzy reasoning", proposed by Turksen and Tian (Fuzzy Sets and Systems 58 (1993) 3-40). We establish an analogous conclusion for an alternative interpretation (due to Magrez and Smets) of generalized modus ponens, which we call consequent dilation rule (CDR). This method is computationally faster than CRI, but it produces less specific inference results.