Reasoning and revision in hybrid representation systems
Reasoning and revision in hybrid representation systems
Attributive concept descriptions with complements
Artificial Intelligence
Regular Article: The Complexity of McNaughton Functions of One Variable
Advances in Applied Mathematics
Modal logic
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Managing uncertainty and vagueness in description logics for the Semantic Web
Web Semantics: Science, Services and Agents on the World Wide Web
Web Semantics: Science, Services and Agents on the World Wide Web
Reasoning within fuzzy description logics
Journal of Artificial Intelligence Research
A correspondence theory for terminological logics: preliminary report
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
Fuzzy description logics with general t-norms and datatypes
Fuzzy Sets and Systems
Making fuzzy description logic more general
Fuzzy Sets and Systems
Fuzzy Description Logics and t-norm based fuzzy logics
International Journal of Approximate Reasoning
Fuzzy logic, annotation domains and semantic web languages
SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
On the undecidability of fuzzy description logics with GCIs and product t-norm
FroCoS'11 Proceedings of the 8th international conference on Frontiers of combining systems
How fuzzy is my fuzzy description logic?
IJCAR'12 Proceedings of the 6th international joint conference on Automated Reasoning
A tableau algorithm for fuzzy description logics over residuated de morgan lattices
RR'12 Proceedings of the 6th international conference on Web Reasoning and Rule Systems
On the (un)decidability of fuzzy description logics under Łukasiewicz t-norm
Information Sciences: an International Journal
Aggregation operators for fuzzy ontologies
Applied Soft Computing
Syntactic labelled tableaux for Łukasiewicz fuzzy ALC
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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Fuzzy Description Logics (DLs) are a family of logics which allow the representation of (and the reasoning with) structured knowledge affected by vagueness. Although most of the not very expressive crisp DLs, such as ALC, enjoy the Finite Model Property (FMP), this is not the case once we move into the fuzzy case. In this paper we show that if we allow arbitrary knowledge bases, then the fuzzy DLs ALC under Lukasiewicz and Product fuzzy logics do not verify the FMP even if we restrict to witnessed models; in other words, finite satisfiability and witnessed satisfiability are different for arbitrary knowledge bases. The aim of this paper is to point out the failure of FMP because it affects several algorithms published in the literature for reasoning under fuzzy DLs.