An aspect of discrepancy in the implementation of modus ponens in the presence of fuzzy quantities
International Journal of Approximate Reasoning
Gradual rules and the approximation of control laws
Theoretical aspects of fuzzy control
What are fuzzy rules and how to use them
Fuzzy Sets and Systems - Special issue dedicated to the memory of Professor Arnold Kaufmann
Knowledge-Driven versus Data-Driven Logics
Journal of Logic, Language and Information
Flexible Control of Case-Based Prediction in the Framework of Possibility Theory
EWCBR '00 Proceedings of the 5th European Workshop on Advances in Case-Based Reasoning
Checking the coherence and redundancy of fuzzy knowledge bases
IEEE Transactions on Fuzzy Systems
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Bipolarity in Possibilistic Logic and Fuzzy Rules
SOFSEM '02 Proceedings of the 29th Conference on Current Trends in Theory and Practice of Informatics: Theory and Practice of Informatics
Possibilistic instance-based learning
Artificial Intelligence - Special issue: Fuzzy set and possibility theory-based methods in artificial intelligence
Fundamenta Informaticae - Special issue on the 9th international conference on rough sets, fuzzy sets, data mining and granular computing (RSFDGrC 2003)
Fundamenta Informaticae - The 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Conputing (RSFDGrC 2003)
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Fuzzy rules are conditional pieces of knowledge which can either express constraints on the set of values which are left possible for a variable, given the values of other variables, or accumulate tuples of feasible values. The first type are implicative rules, while the second are based on conjunctions. Consequences of this view on inference and interpolation between sparse rules are presented.