Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Reasoning within fuzzy description logics
Journal of Artificial Intelligence Research
Making fuzzy description logic more general
Fuzzy Sets and Systems
Fuzzy description logics under Gödel semantics
International Journal of Approximate Reasoning
An OWL Ontology for Fuzzy OWL 2
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Fuzzy description logics with general t-norms and datatypes
Fuzzy Sets and Systems
Reasoning with the finitely many-valued Łukasiewicz fuzzy Description Logic SROIQ
Information Sciences: an International Journal
Strict core fuzzy logics and quasi-witnessed models
Archive for Mathematical Logic
Fuzzy logic, annotation domains and semantic web languages
SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
Finite-valued Lukasiewicz modal logic Is PSPACE-complete
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
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Classical ontologies are not suitable to represent imprecise nor uncertain pieces of information. Fuzzy Description Logics were born to represent the former type of knowledge, but they require an appropriate fuzzy language to be agreed and an important number of available resources to be adapted. An alternative is to use classical ontologies to represent fuzzy ontologies. To date, all of the work in this direction has restricted to the Zadeh family of fuzzy operators. In this paper, we generalize existing proposals and propose a reasoning preserving procedure to obtain a crisp representation for a fuzzy extension of the logic ALCHOI under Łukasiewicz semantics. This reduction makes possible to reuse a crisp representation language as well as currently available reasoners under crisp semantics.