Foundations of logic programming; (2nd extended ed.)
Foundations of logic programming; (2nd extended ed.)
The Semantics of Predicate Logic as a Programming Language
Journal of the ACM (JACM)
Approximate reasoning by similarity-based SLD resolution
Theoretical Computer Science
Soundness and Completeness of Non-classical SLD-Resolution
ELP '96 Proceedings of the 5th International Workshop on Extensions of Logic Programming
Multi-adjoint Logic Programming with Continuous Semantics
LPNMR '01 Proceedings of the 6th International Conference on Logic Programming and Nonmonotonic Reasoning
An improved reductant calculus using fuzzy partial evaluation techniques
Fuzzy Sets and Systems
Prolog-ELF incorporating fuzzy logic
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 2
Fuzzy Logic, Soft Computing, and Applications
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
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The notion of least Herbrand model has been traditionally accepted as the declarative semantics for programs in the context of pure logic programming. Some adaptations of this concept, using model-theory, were made for a few number of fuzzy logic programming frameworks in the recent years. Unfortunately, this is not the case of multi-adjoint logic programming, one of the most expressive, powerful approaches for fuzzifying logic programming. To fulfill this gap, in this paper we propose a declarative semantics for such kind of fuzzy logic programs based on the so-called least fuzzy Herbrand model. We prove and important "minimality" property of our construction which can not trivially be inherited from pure logic programming. Moreover, apart from relating our notion with other existing procedural and fix-point semantics (what is also instrumental to prove its properties), we provide evident cases where our construction exists even when the rest of the aforementioned fuzzy semantics remain undefined.