About: Reasoning within expressive fuzzy rough description logics

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Reasoning within expressive fuzzy rough description logics
Creator	Deng, Peimin Jiang, Yuncheng Tang, Suqin Wang, Ju
Source	Elsevier; Medline; PMC
abstract	Abstract It is generally accepted that the management of imprecision and vagueness will yield more intelligent and realistic knowledge-based applications. Description Logics (DLs) are suitable, well-known logics for managing structured knowledge that have gained considerable attention the last decade. The current research progress and the existing problems of uncertain or imprecise knowledge representation and reasoning in DLs are analyzed in this paper. An integration between the theories of fuzzy DLs and rough DLs has been attempted by providing fuzzy rough DLs based on fuzzy rough set theory. The syntax, semantics and properties of fuzzy rough DLs are given. It is proved that the satisfiability, subsumption, entailment and ABox consistency reasoning in fuzzy rough DLs may be reduced to the ABox consistency reasoning in the corresponding fuzzy DLs.
has issue date	2009-12-01(xsd:dateTime)
bibo:doi	10.1016/j.fss.2009.01.004
bibo:pmid	32287529
has license	els-covid
sha1sum (hex)	3e5ad0064405fe418dd5b81f08259db26b786ef6
schema:url	https://doi.org/10.1016/j.fss.2009.01.004
resource representing a document's title	Reasoning within expressive fuzzy rough description logics
has PubMed Central identifier	PMC7133619
has PubMed identifier	32287529
schema:publication	Fuzzy Sets and Systems
resource representing a document's body	covid:3e5ad0064405fe418dd5b81f08259db26b786ef6#body_text
is schema:about of	named entity 'LOGICS' named entity 'REASONING' named entity 'REASONING' named entity 'IMPRECISE' named entity 'UNCERTAIN' named entity 'PROBLEMS' named entity 'INTELLIGENT' named entity 'CURRENT' named entity 'ATTEMPTED' named entity 'INTEGRATION' named entity 'SUITABLE' named entity 'STRUCTURED' named entity 'SEMANTICS' named entity 'DECADE' named entity 'CONSISTENCY' named entity 'DESCRIPTION' named entity 'FUZZY' named entity 'LOGICS' named entity 'ROUGH' named entity 'SET' covid:arg/3e5ad0064405fe418dd5b81f08259db26b786ef6 named entity 'GAINED' named entity 'DLS' named entity 'DESCRIPTION' named entity 'FUZZY' named entity 'ROUGH' named entity 'MANAGEMENT' named entity 'KNOWLEDGE' named entity 'HAVE' named entity 'REDUCED' named entity 'CONSIDERABLE' named entity 'BASED' named entity 'ACCEPTED' named entity 'APPLICATIONS' named entity 'YIELD' named entity 'IMPRECISION' named entity 'PROVIDING' named entity 'THEORIES' named entity 'KNOWN' named entity 'PAPER' named entity 'SYNTAX' named entity 'MAY BE' named entity 'ATTENTION' named entity 'THEORY' named entity 'ANALYZED' named entity 'PROPERTIES' named entity 'RESEARCH' named entity 'GENERALLY' named entity 'PROGRESS' named entity 'KNOWLEDGE REPRESENTATION' named entity 'GIVEN' named entity 'Description Logics' named entity 'DLs' named entity 'DLs' named entity 'current research' named entity 'rough set theory' named entity 'description logics' named entity 'satisfiable' named entity '2.2' named entity 'lattice' named entity 'Gödel' named entity 'algorithm' named entity 'greatest element' named entity 'product t-norm' named entity 'fuzzy logic' named entity 'semantics' named entity 'subsumption' named entity 'DLs' named entity 'logic-based' named entity 'semantics' named entity 'DeLorean' named entity 'unfoldable' named entity 'rough set theory' named entity 'Zadeh' named entity 't-norm' named entity 'ABox' named entity 'subset' named entity 'semantics'

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