Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/5479
Full metadata record
DC FieldValueLanguage
dc.contributor.authorZarechnev, Mikhail-
dc.contributor.authorKumova, Bora İsmail-
dc.date.accessioned2017-05-11T10:44:19Z-
dc.date.available2017-05-11T10:44:19Z-
dc.date.issued2015-
dc.identifier.citationZarechnev, M., and Kumova, B. İ. (2015). Ontology-based fuzzy-syllogistic reasoning. Lecture Notes in Computer Science, 9101, 179-188. doi:10.1007/978-3-319-19066-2_18en_US
dc.identifier.isbn9783319190655-
dc.identifier.issn0302-9743-
dc.identifier.issn1611-3349-
dc.identifier.urihttp://doi.org/10.1007/978-3-319-19066-2_18-
dc.identifier.urihttp://hdl.handle.net/11147/5479-
dc.description28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015; Seoul; South Korea; 10 June 2015 through 12 June 2015en_US
dc.description.abstractWe discuss the Fuzzy-Syllogistic System (FSS) that consists of the well-known 256 categorical syllogisms, namely syllogistic moods, and Fuzzy- Syllogistic Reasoning (FSR), which is an implementation of the FSS as one complex approximate reasoning mechanism, in which the 256 moods are interpreted as fuzzy inferences. Here we introduce a sample application of FSR as ontology reasoner. The reasoner can associate up to 256 possible fuzzyinferences with truth ratios in [0,1] for every triple concept relationship of the ontology. We further discuss a transformation technique, by which the truth ratio of a fuzzy-inference can increase, by adapting the fuzzy-quantifiers of a fuzzy-inference to the syllogistic logic of the sample propositions.en_US
dc.language.isoenen_US
dc.publisherSpringer Verlagen_US
dc.relation.ispartofLecture Notes in Computer Scienceen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectApproximate reasoningen_US
dc.subjectCategorical syllogismsen_US
dc.subjectOntologiesen_US
dc.subjectFuzzy inferenceen_US
dc.titleOntology-based fuzzy-syllogistic reasoningen_US
dc.typeConference Objecten_US
dc.institutionauthorKumova, Bora İsmail-
dc.departmentİzmir Institute of Technology. Computer Engineeringen_US
dc.identifier.volume9101en_US
dc.identifier.startpage179en_US
dc.identifier.endpage188en_US
dc.identifier.wosWOS:000363236300018en_US
dc.identifier.scopus2-s2.0-84946431016en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1007/978-3-319-19066-2_18-
dc.relation.doi10.1007/978-3-319-19066-2_18en_US
dc.coverage.doi10.1007/978-3-319-19066-2_18en_US
dc.identifier.wosqualityN/A-
dc.identifier.scopusqualityQ3-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.openairetypeConference Object-
crisitem.author.dept03.04. Department of Computer Engineering-
Appears in Collections:Computer Engineering / Bilgisayar Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Files in This Item:
File Description SizeFormat 
5479.pdfConference Paper358.7 kBAdobe PDFThumbnail
View/Open
Show simple item record



CORE Recommender

SCOPUSTM   
Citations

3
checked on Nov 15, 2024

Page view(s)

256
checked on Nov 18, 2024

Download(s)

280
checked on Nov 18, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.