Attributive concept descriptions with complements
Artificial Intelligence
Fuzzy Sets and Systems
Fuzzy rough sets: application to feature selection
Fuzzy Sets and Systems
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Reasoning with individuals in concept languages
Data & Knowledge Engineering
Axiomatics for fuzzy rough sets
Fuzzy Sets and Systems
A comparative study of fuzzy rough sets
Fuzzy Sets and Systems
A fuzzy-rough approach to the representation of linguistic hedges
Technologies for constructing intelligent systems
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Towards a framework for approximate ontologies
Fundamenta Informaticae
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 with rough description logics: An approximate concepts approach
Information Sciences: an International Journal
Fuzzy description logics under Gödel semantics
International Journal of Approximate Reasoning
Reasoning within intuitionistic fuzzy rough description logics
Information Sciences: an International Journal
Supporting Fuzzy Rough Sets in Fuzzy Description Logics
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Reasoning within fuzzy description logics
Journal of Artificial Intelligence Research
Reasoning with very expressive fuzzy description logics
Journal of Artificial Intelligence Research
Description logics with approximate definitions precise modeling of vague concepts
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Generalizing term subsumption languages to fuzzy logic
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
Reasoning within expressive fuzzy rough description logics
Fuzzy Sets and Systems
A formal framework for description logics with uncertainty
International Journal of Approximate Reasoning
Which logic is the real fuzzy logic?
Fuzzy Sets and Systems
Making fuzzy description logic more general
Fuzzy Sets and Systems
Applying rough sets to information tables containing possibilistic values
Transactions on computational science II
Reasoning with the finitely many-valued Łukasiewicz fuzzy Description Logic SROIQ
Information Sciences: an International Journal
DeLorean: A reasoner for fuzzy OWL 2
Expert Systems with Applications: An International Journal
Fuzzy Rough Sets: The Forgotten Step
IEEE Transactions on Fuzzy Systems
Information Sciences: an International Journal
Inconsistency-tolerant reasoning with OWL DL
International Journal of Approximate Reasoning
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Description logics (DLs) are a family of logics for representing structured knowledge which have proved to be very useful as ontology languages. Classical DLs are not suitable to represent vague pieces of information. The attempts to achieve a solution have led to the birth of fuzzy DLs and rough DLs. In this work, we provide a simple solution to join these two formalisms and define a fuzzy rough DL. This logic is more general than other related approaches, including tight and loose fuzzy rough approximations and being independent of the fuzzy logic operators considered. We show the usefulness of our approach by presenting some uses case, and we also describe how to extend two reasoning algorithms for fuzzy DLs, which are implemented in the fuzzy DL reasoners fuzzyDL and DeLorean.