Results 201 to 210 of about 20,038 (240)

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.
Bobillo F, Straccia U
openaire   +6 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, Qimai Chen, Hai Liu, Jianchao Tang   +4 more
openaire   +3 more sources

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.
Bobillo F, Delgado M, GómezRomero J, Straccia U   +3 more
openaire   +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   +1 more source

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

Querying over fuzzy description logic

Wuhan University Journal of Natural Sciences, 2008
Description logics (DLs) play an important role in representing and reasoning domain knowledge. Conjunctive queries stemmed from the domain of relational databases, and have attracted more attentions in semantic Web recently. To acquire a tractable DL for query answering, DL-Lite is proposed.
Jingwei Cheng, Zongmin Ma, Li Yan, Hailong Wang   +3 more
openaire   +1 more source

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.
García-Cerdaña Àngel, Esteva Francesc   +1 more
openaire   +1 more source

A dynamic fuzzy description logic

Wuhan University Journal of Natural Sciences, 2008
Fuzzy description logics are considered as the logical infrastructure of fuzzy knowledge representation on the semantic Web. To deal with fuzzy and dynamic knowledge on the semantic Web and its applications, a new fuzzy extension of Attribute Language with Complement based on dynamic fuzzy logic called the dynamic fuzzy description logic (DFALC) is ...
Wei Fang, Xuefeng Xian, Pengpeng Zhao, Zhiming Cui   +3 more
openaire   +1 more source

Type-2 fuzzy description logic

Frontiers of Computer Science in China, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Li, Ruixuan, Wen, Kunmei, Gu, Xiwu, Li, Yuhua, Sun, Xiaolin, Li, Bing   +5 more
openaire   +2 more sources

Introducing Fuzzy Temporal Description Logic

Proceedings of the 3rd International Conference on Industrial and Business Engineering, 2017
Description logics are considered as the logical infrastructure of knowledge representation on the semantic Web as well as information systems. To deal with imprecise temporal knowledge and its applications, we introduce a fuzzy temporal description logic (FTDL) in which such temporal is characterized in a classic description logic.
Loan T.T Ho, Somjit Arch-int, Ngamnij Arch-int   +2 more
openaire   +1 more source