Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6482
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dc.contributor.authorÇelikyılmaz, Aslı-
dc.contributor.authorTürkşen, İsmail Burhan-
dc.date.accessioned2021-09-11T15:36:49Z-
dc.date.available2021-09-11T15:36:49Z-
dc.date.issued2010en_US
dc.identifier.citationAnnual Meeting of the North-American-Fuzzy-Information-Processing-Society -- JUN 24-27, 2007 -- San Diego, CAen_US
dc.identifier.issn0888-613X-
dc.identifier.urihttps://doi.org/10.1016/j.ijar.2010.06.002-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/6482-
dc.description.abstractWe analyze the impact of imprecise parameters on performance of an uncertainty-modeling tool presented in this paper. In particular, we present a reliable and efficient uncertainty-modeling tool, which enables dynamic capturing of interval-valued clusters representations sets and functions using well-known pattern recognition and machine learning algorithms. We mainly deal with imprecise learning parameters in identifying uncertainty intervals of membership value distributions and imprecise functions. In the experiments, we use the proposed system as a decision support tool for a production line process. Simulation results indicate that in comparison to benchmark methods such as well-known type-1 and type-2 system modeling tools, and statistical machine-learning algorithms, proposed interval-valued imprecise system modeling tool is more robust with less error. (C) 2010 Elsevier Inc. All rights reserved.en_US
dc.description.sponsorshipN Amer Fuzzy Informat Proc Soc, IEEEen_US
dc.language.isoenen_US
dc.publisherElsevier Science Incen_US
dc.relation.ispartofInternational Journal of Approximate Reasoningen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectInterval-valued membership functions and imprecise functionsen_US
dc.subjectCased-based type reductionen_US
dc.titleDecision making with imprecise parametersen_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.volume51en_US
dc.identifier.issue8en_US
dc.identifier.startpage869en_US
dc.identifier.endpage882en_US
dc.identifier.wosWOS:000282867600002en_US
dc.institutionauthorTürkşen, İsmail Burhan-
dc.identifier.doi10.1016/j.ijar.2010.06.002-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conferenceAnnual Meeting of the North-American-Fuzzy-Information-Processing-Societyen_US
dc.identifier.scopusqualityQ1-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairetypeConference Object-
item.cerifentitytypePublications-
item.languageiso639-1en-
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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