Publication:
An integrated model with interval valued neutrosophic sets for the selection of lean and sustainable suppliers

dc.contributor.authorsYalcin A.S., Kilic H.S., Caglayan N.
dc.date.accessioned2022-03-15T02:16:00Z
dc.date.accessioned2026-01-11T16:36:41Z
dc.date.available2022-03-15T02:16:00Z
dc.date.issued2020
dc.description.abstractSuppliers have a very important role in the supply chain (SC) and accordingly the evaluation and selection of the supplier is quite significant. The aim of this study is to develop a hybrid methodology for the determination of the best supplier considering lean and sustainable factors. However, the selection of sustainable suppliers often includes indeterminate, inconsistent and vague information due to the subjective nature of individual decisions. Interval-valued neutrosophic sets (IVNSs) have a considerable capability to deal with indeterminacy and vagueness in the decision-making process. To this end, we integrated two strong decision making tools, ANP and TODIM, under interval valued neutrosophic sets environment. Firstly, IVN-ANP was employed to calculate the criteria weights. Further, obtained weights are utilized in the IVN-TODIM method as an input for the best sorting of the alternatives. A numerical example was introduced to illustrate the applicability and efficacy of the proposed approach. © 2020, Springer Nature Switzerland AG.
dc.identifier.doi10.1007/978-3-030-23756-1_83
dc.identifier.isbn9783030237554
dc.identifier.issn21945357
dc.identifier.urihttps://hdl.handle.net/11424/248180
dc.language.isoeng
dc.publisherSpringer Verlag
dc.relation.ispartofAdvances in Intelligent Systems and Computing
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectIVN-ANP
dc.subjectIVN-TODIM
dc.subjectLean and sustainable supplier
dc.titleAn integrated model with interval valued neutrosophic sets for the selection of lean and sustainable suppliers
dc.typeconferenceObject
dspace.entity.typePublication
oaire.citation.endPage701
oaire.citation.startPage693
oaire.citation.titleAdvances in Intelligent Systems and Computing
oaire.citation.volume1029

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