Results 1 to 10 of about 778 (247)
Fuzzy Description Logics and t-norm based fuzzy logics
International Journal of Approximate Reasoning, 2010 Description Logics (DLs) are knowledge representation languages built on the basis of classical logic. DLs allow the creation of knowledge bases and provide ways to reason on the contents of these bases.
Eva Armengol, Francesc Esteva
exaly +5 more sources
On similarity in fuzzy description logics [PDF]
Fuzzy Sets and Systems, 2016 This paper is a contribution to the study of similarity relations between objects represented as attribute-value pairs in Fuzzy Description Logics . For this purpose we use concrete domains in the fuzzy description logic IALCEF(D)IALCEF(D) associated ...
Àngel García-Cerdaña +6 more
core +5 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
exaly +3 more sources
Transforming fuzzy description logics into classical description logics [PDF]
, 2004 . In this paper we consider Description Logics (DLs), which are logics for managing structured knowledge, with a well-known fuzzy extension to deal with vague information.
Isti-cnr Via G. Moruzzi +1 more
core +4 more sources
Reasoning within fuzzy description logics [PDF]
Journal of Artificial Intelligence Research, 2001 Description Logics (DLs) are suitable, well-known, logics for managing structured knowledge. They allow reasoning about individuals and well defined concepts, i.e. set of individuals with common properties. The experience in using DLs in applications has
Via G. Moruzzi, Umberto Straccia
core +7 more sources
Fuzzy extensions of OWL: Logical properties and reduction to Fuzzy Description Logics
International Journal of Approximate Reasoning, 2010 The Semantic Web is an extension of the current web, where information would have precisely defined meaning, based on knowledge representation languages. The current W3C standard for representing knowledge is the Web Ontology Language (OWL). OWL is based
Stoilos, G +8 more
core +4 more sources
Fuzzy description logics under Gödel semantics
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 +2 more
exaly +2 more sources
Description Logics with Fuzzy Concrete Domains
CoRR, 2005 We present a fuzzy version of description logics with concrete domains. Main features are: (i) concept constructors are based on t-norm, t-conorm, negation and implication; (ii) concrete domains are fuzzy sets; (iii) fuzzy modifiers are allowed; and
Umberto Straccia
core +6 more sources
How to Enrich Description Logics with Fuzziness
2017 Computing Conference, 2017 International audienceThe 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.
Unold, Martin, Cruz, Christophe
core +4 more sources
Fuzzy description logics with general t-norms and datatypes [PDF]
Fuzzy Sets and Systems, 2009 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