Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/5834
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dc.contributor.authorÇelikyılmaz, Aslı-
dc.contributor.authorTürkşen, İsmail Burhan-
dc.date.accessioned2021-09-11T15:20:17Z-
dc.date.available2021-09-11T15:20:17Z-
dc.date.issued2009en_US
dc.identifier.isbn9783540899235-
dc.identifier.issn1434-9922-
dc.identifier.urihttps://doi.org/10.1007/978-3-540-89924-2_5-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/5834-
dc.description.abstractThis chapter introduces a new uncertainty modeling architecture for the new improved fuzzy functions systems. The theory is based on a new interval type-2 fuzzy system. The uncertainties are captured by automatic identification of the structure of fuzzy functions, and upper and lower boundaries of key parameters that define fuzzy sets. A new type reduction method is introduced. © 2009 Springer-Verlag Berlin Heidelberg.en_US
dc.language.isoenen_US
dc.relation.ispartofStudies in Fuzziness and Soft Computingen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleModeling uncertainty with improved fuzzy functionsen_US
dc.typeArticleen_US
dc.departmentFaculties, Faculty of Engineering, Department of Industrial Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümütr_TR
dc.identifier.volume240en_US
dc.identifier.startpage149en_US
dc.identifier.endpage215en_US
dc.identifier.scopus2-s2.0-64349110806en_US
dc.institutionauthorTürkşen, İsmail Burhan-
dc.identifier.doi10.1007/978-3-540-89924-2_5-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ3-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairetypeArticle-
item.languageiso639-1en-
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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