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JOINING GÖDEL AND ZADEH FUZZY LOGICS IN FUZZY DESCRIPTION LOGICS

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2012
Ontologies have succeeded as a knowledge representation formalism in many domains of application. Nevertheless, they are not suitable to represent vague or imprecise information. To overcome this limitation, several extensions to classical ontologies based on fuzzy logic have been proposed.
Fernando Bobillo, Miguel Delgado 0001, Juan Gómez-Romero, Umberto Straccia   +3 more
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Generalized fuzzy rough description logics

Information Sciences, 2012
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 rep- resent vague pieces of information. The attempts to achieve a solution have led to the birth of fuzzy DLs and rough DLs.
Fernando Bobillo, Umberto Straccia
exaly   +6 more sources

Fuzzy description logics in the framework of mathematical fuzzy logic

, 2015
Fuzzy Description Logics (DLs) are a logical formalism for the representation of structured knowledge affected by imprecision or vagueness. The chapter provides insights in terms of Mathematical Fuzzy Logic.
Bobillo F, Cerami M, Esteva F, GarcíaCerdaña A, Peñaloza R, Straccia U   +5 more
openaire   +3 more sources

Extending fuzzy soft sets with fuzzy description logics

Knowledge-Based Systems, 2011
Molodtsov initiated the concept of soft set theory, which can be used as a generic mathematical tool for dealing with uncertainty. However, it has been pointed out that classical soft sets are not appropriate to deal with imprecise and fuzzy parameters.
Yuncheng Jiang, Yong Tang 0001, Qimai Chen, Hai Liu 0006, Jianchao Tang   +4 more
exaly   +3 more sources

Fuzzy description logics under Gödel semantics [PDF]

International Journal of Approximate Reasoning, 2009
Classical ontologies are not suitable to represent vague pieces of information, which has lead to the birth of Fuzzy Description Logics as an appropriate formalism to represent this type of knowledge.
Fernando Bobillo, Umberto Straccia, Juan Gomez Romero   +2 more
exaly   +2 more sources

Combining Fuzzy Description Logics and Fuzzy Logic Programs

2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2008
Integrating rules and ontologies has become a key requirement for applications in the semantic Web. Web applications in general have also motivated another requirement, that of handling uncertainty, an intrinsic feature of the real world. In this paper, we present a fuzzy extension to description logic programs (DLP), called fhDLP.
Jidi Zhao, Harold Boley
openaire   +2 more sources

On Fuzzy Description Logics

2008
Description Logics (DLs) are knowledge representation languages, particularly suited to specify formal ontologies. DLs have been studied extensively over the last two decades. Fuzzy Description Logics (FDLs) incorporate vague concepts modeling them as fuzzy sets.
Àngel García-Cerdaña, Francesc Esteva
openaire   +2 more sources

Fuzzy Ontology, Fuzzy Description Logics and Fuzzy-OWL

2007
The conceptual formalism supported by an ontology is not sufficient for handling vague information that is commonly found in many application domains. We describe how to introduce fuzziness in an ontology. To this aim we define a framework consisting of a fuzzy ontology based on Fuzzy Description Logic and Fuzzy---Owl.
CALEGARI, SILVIA, CIUCCI, DAVIDE ELIO
openaire   +1 more source

Generalizing Quantification in Fuzzy Description Logics

2006
In this paper we introduce \( \mathcal{A}\mathcal{L}\mathcal{C}\mathcal{Q}_F^ + \), a fuzzy description logic with extended qualified quantification. The proposed language allows for the definition of fuzzy quantifiers of the absolute and relative kind by means of piecewise linear functions on ℕ and ℚ ∩ [0, 1] respectively.
Daniel Sánchez 0001, Andrea Tettamanzi
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Logical Characterizations of Crisp Bisimulations in Fuzzy Description Logics

IEEE Transactions on Fuzzy Systems, 2023
4
Linh Anh Nguyen, Ngoc Thanh Nguyen 0001
openaire   +3 more sources