Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11779/1735
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dc.contributor.authorSergi, Duygu-
dc.contributor.authorSarı, İrem Uçal-
dc.contributor.authorSenapati, Tapan-
dc.date.accessioned2022-01-26T08:59:36Z-
dc.date.available2022-01-26T08:59:36Z-
dc.date.issued2022-
dc.identifier.citationSergi, D., Sari, I. U., & Senapati, T. (2022). Extension of capital budgeting techniques using interval-valued Fermatean fuzzy sets. Journal of Intelligent & Fuzzy Systems, 42(1), pp. 365-376. https://doi.org/10.3233/JIFS-219196en_US
dc.identifier.issn1064-1246-
dc.identifier.issn1875-8967-
dc.identifier.urihttps://doi.org/10.3233/JIFS-219196-
dc.identifier.urihttps://hdl.handle.net/20.500.11779/1735-
dc.description.abstractCapital budgeting requires dealing with high uncertainty from the unknown characteristics of cash flow, interest rate, and study period forecasts for future periods. Many fuzzy extensions of capital budgeting techniques have been proposed and used in a wide range of applications to deal with uncertainty. In this paper, a new fuzzy extension of the most used capital budgeting techniques is proposed. In this content, first interval-valued Fermatean fuzzy sets (IVFFS s) are defined, and the algebraic and aggregation operations are determined for interval-valued Fermatean fuzzy (IVFF) numbers. The formulations of IVFF net present value, IVFF equivalent uniform annual value, and IVFF benefit-cost ratio (B/C) methods are generated. To validate the proposed methods, proposed formulations are illustrated with a hypothetical example, and the results are compared with classical fuzzy capital budgeting techniques.en_US
dc.language.isoenen_US
dc.publisherIOS Pressen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectInterval-valued Fermatean fuzzy setsen_US
dc.subjectFuzzy engineering economicsen_US
dc.subjectFuzzy equivalent uniform annual valueen_US
dc.subjectFuzzy benefit cost ratioen_US
dc.subjectFuzzy net present valueen_US
dc.titleExtension of capital budgeting techniques using interval-valued Fermatean fuzzy setsen_US
dc.typeArticleen_US
dc.identifier.doi10.3233/JIFS-219196-
dc.identifier.scopus2-s2.0-85122820808en_US
dc.authoridDuygu Sergi / 0000-0003-1636-0230-
dc.description.PublishedMonthOcaken_US
dc.description.woscitationindexScience Citation Index Expanded-
dc.identifier.wosqualityQ4-
dc.description.WoSDocumentTypeArticle
dc.description.WoSInternationalCollaborationUluslararası işbirliği ile yapılan - EVETen_US
dc.description.WoSPublishedMonthJanuaryen_US
dc.description.WoSIndexDate2022en_US
dc.description.WoSYOKperiodYÖK - 2021-22en_US
dc.identifier.scopusqualityQ3-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.endpage376en_US
dc.identifier.startpage365en_US
dc.identifier.issue1en_US
dc.identifier.volume42en_US
dc.departmentMühendislik Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.relation.journalJournal of Intelligent & Fuzzy Systemsen_US
dc.identifier.wosWOS:000741363900027en_US
dc.institutionauthorSergi, Duygu-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.openairetypeArticle-
crisitem.author.dept02.01. Department of Industrial Engineering-
Appears in Collections:Endüstri Mühendisliği Bölümü koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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