Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/7753
Full metadata record
DC FieldValueLanguage
dc.contributor.authorÇelikyılmaz, Aslı-
dc.contributor.authorTürkşen, İsmail Burhan-
dc.date.accessioned2021-09-11T15:59:28Z-
dc.date.available2021-09-11T15:59:28Z-
dc.date.issued2008en_US
dc.identifier.citation11th Joint Conference on Information Sciences -- DEC 15-20, 2008 -- Shenzhen, PEOPLES R CHINAen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11851/7753-
dc.description.abstractThis paper presents a new Type-2 Fuzzy Classifier ensemble, which enables to model parameter uncertainties by characterizing the fuzzy sets with secondary membership values. We use fuzzy clustering method to characterize primary membership values and genetic algorithm to approximate secondary membership grades. Furthermore, a weighing algorithm is used for a non-complex reduction for reasoning. We use transductive reasoning, instead of inductive reasoning, to develop a local model for every new vector, based on a nearness criterion vectors from the given database. It is shown that the method can improve classifier system modeling performance in comparison to well-known methods.en_US
dc.language.isoenen_US
dc.publisherAtlantis Pressen_US
dc.relation.ispartofProceedings of The 11Th Joint Conference On Information Sciencesen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjecttype-2 fuzzy setsen_US
dc.subjectclassifier ensemblesen_US
dc.subjectfuzzy c-classificationen_US
dc.titleType-2 Fuzzy Classifier Ensembles for Text Entailmenten_US
dc.typeConference Objecten_US
dc.departmentFaculties, Faculty of Engineering, Department of Industrial Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümütr_TR
dc.identifier.wosWOS:000269122600115en_US
dc.institutionauthorTürkşen, İsmail Burhan-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conference11th Joint Conference on Information Sciencesen_US
item.openairetypeConference Object-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Show simple item record



CORE Recommender

WEB OF SCIENCETM
Citations

1
checked on Dec 21, 2024

Page view(s)

72
checked on Dec 23, 2024

Google ScholarTM

Check





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