Results 211 to 220 of about 785 (252)
From Empire to Aid: Analysing Persistence of Colonial Legacies in Foreign Aid to Africa
ABSTRACT For decades now, Western development agencies and donors have been castigated for their colonial biases in providing aid to Africa. It is well established that donors provide considerably more foreign aid to their former colonies relative to other countries.
Swetha Ramachandran
wiley +1 more source
Extending fuzzy soft sets with fuzzy description logics
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
exaly +3 more sources
How to enrich description logics with fuzziness
The paper describes the relation between fuzzy and non-fuzzy description logics. It gives an overview about current research in these areas and describes the difference between tasks for description logics and fuzzy logics. The paper also deals with the transformation properties of description logics to fuzzy logics and backwards.
Unold, Martin, Cruz, Christophe
core +4 more sources
Fuzzy description logics under Gödel semantics
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 +2 more
exaly +2 more sources
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Combining Fuzzy Description Logics and Fuzzy Logic Programs
2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2008Integrating 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, 2012Ontologies 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 +3 more
openaire +2 more sources
Fuzzy description logics with general t-norms and datatypes [PDF]
Fuzzy description logics (DLs) are a family of logics which allow the representation of (and the reasoning within) structured knowledge affected by vagueness.
Fernando Bobillo, Umberto Straccia
exaly +1 more source
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
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, 2006Typical 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 +3 more
openaire +2 more sources
Fuzzy Ontology, Fuzzy Description Logics and Fuzzy-OWL
2007The 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

