Gelişmiş Arama

Basit öğe kaydını göster

dc.contributor.authorKucuk, Gokce Dilek
dc.contributor.authorSahin, Ridvan
dc.date.accessioned2021-11-09T19:48:38Z
dc.date.available2021-11-09T19:48:38Z
dc.date.issued2018
dc.identifier.issn2152-5080
dc.identifier.issn2152-5099
dc.identifier.urihttps://doi.org/10.1615/Int.J.UncertaintyQuantification.2018021164
dc.identifier.urihttps://hdl.handle.net/20.500.12440/3703
dc.description.abstractThe simplified neutrosophic set (SNS) is a useful model to describe the indeterminacy information which widely exists in the real world. In this paper, we develop a multicriteria decision-making (MCDM) method under simplified neutrosophic environment in which the information about weights of criteria is completely unknown, and the decision criterion values take the form of simplified neutrosophic numbers (SNNs). In order to determine the weighting vector of the criteria, we establish an optimization model based on the basic ideal of the traditional gray relational analysis (GRA) method. By solving this model, we get a simple and exact formula which can be used to determine the criterion weights. Moreover, we utilize the dice similarity measure to determine the similarity measures between each alternative decision and the related ideal decisions. Then, based on the traditional GRA method and the technique for order preference by similarity to ideal solution (TOPSIS), some calculation steps are presented for solving a simplified neutrosophic multicriteria decision-making problem with completely unknown weight information. To avoid information loss, this model does not use the aggregation process of decision information. Comparisons of the suggested methodology with other methods are also made. Finally, a numerical example and an experimental analysis are proposed to illustrate the application of the proposed model.en_US
dc.language.isoengen_US
dc.publisherBegell House Incen_US
dc.relation.ispartofInternational Journal For Uncertainty Quantificationen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectneutrosophic setsen_US
dc.subjectsimplified neutrosophic setsen_US
dc.subjectdice measureen_US
dc.subjectgray relational analysis (GRA)en_US
dc.subjectdecision-makingen_US
dc.titleA NOVEL HYBRID APPROACH FOR SIMPLIFIED NEUTROSOPHIC DECISION-MAKING WITH COMPLETELY UNKNOWN WEIGHT INFORMATIONen_US
dc.typearticleen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.description.wospublicationidWOS:000432295100005en_US
dc.description.scopuspublicationid2-s2.0-85048286316en_US
dc.departmentGümüşhane Üniversitesien_US
dc.identifier.volume8en_US
dc.identifier.issue2en_US
dc.identifier.startpage161en_US
dc.identifier.doi10.1615/Int.J.UncertaintyQuantification.2018021164
dc.identifier.endpage173en_US
dc.authorscopusid57193200951
dc.authorscopusid56285350800


Bu öğenin dosyaları:

DosyalarBoyutBiçimGöster

Bu öğe ile ilişkili dosya yok.

Bu öğe aşağıdaki koleksiyon(lar)da görünmektedir.

Basit öğe kaydını göster