Results 261 to 270 of about 9,914 (309)

Fuzzy logic-based speed guidance strategy for mixed platoons at intersections with communication delay compensation and driver reaction time modeling. [PDF]

Sci Rep
Liu X, Yan M, Dai R, Gao M.
europepmc   +1 more source

Triangular fuzzy game modelling for internal innovation in platform-driven manufacturing enterprises under uncertainty. [PDF]

Sci Rep
Guo Y, Zhang H, Zou H, He D, Zhao C.
europepmc   +1 more source

A hybrid fuzzy-PIDD² control strategy for coordinated LFC and AVR in renewable-integrated multi-area power systems. [PDF]

Sci Rep
Omar MHT, Hamdy RA, Kotb H.
europepmc   +1 more source

The Fuzzy Description Logic f-SHIN

, 2005
Stoilos, G, Tzouvaras, V, Pan, J, Stamou, G, Horrocks, I   +4 more
core  

Fuzzy quantification in fuzzy description logics

, 2006
This chapter introduces reasoning procedures for {\qfdl}, a fuzzy description logic with extended qualified quantification \cite (SanchezTettamanzi2004}. The language allows for the definition of fuzzy quantifiers of the absolute and relative kind by means of piecewise linear functions on $\mathbb{N}$ and $\mathbb{Q}\cap[0,1]$ respectively. In order to
Daniel Sánchez, Andrea G. B. Tettamanzi   +1 more
openaire   +3 more sources

Some of the next articles are maybe not open access.

Related searches:

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

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
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   +1 more source

A family of Extended Fuzzy Description Logics

International Journal of Business Intelligence and Data Mining, 2006
Typical description logics are limited to dealing with crisp concepts and crisp roles. However, web applications based on description logics should allow the treatment of the inherent uncertainty. Extended Fuzzy Description Logics (EFDLs), which adopt a special fuzzify-method with more expressive power than the previous fuzzy description logics, are ...
Jianjiang Lu, Baowen Xu, Yanhui Li, Dazhou Kang   +3 more
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