Developing a Novel Approach for Determining the Reliability of Bipolar Neutrosophic Sets and its Application in Multi-Criteria Decision-Making

dc.authorid0000-0002-8130-1301tr
dc.contributor.authorUlutaş, Alptekin
dc.date.accessioned2022-05-10T11:16:25Z
dc.date.available2022-05-10T11:16:25Z
dc.date.issued2021tr
dc.departmentİktisadi ve İdari Bilimler Fakültesitr
dc.description.abstractThis article aims to propose an approach for determining reliability of information collected using questionnaires and bipolar neutrosophic sets. Bipolar neutrosophic sets use six membership functions that express the truth membership, the falsity membership, as well as the indeterminacy membership to the set and complementary set. Therefore, bipolar neutrosophic numbers may be suitable for applying in multi-criteria evaluation when a smaller number of complex evaluation criteria are used. Unfortunately, a significant number of membership functions make them somewhat complex for collecting data by surveying respondents. Using reliability of data decision-makers can identify respondents who did not want to participate in the survey, or did not understand the application of BNNs, and take appropriate action. The usability of the proposed approach is presented through two illustrative examples and conclusions were drawn based on obtained results.tr
dc.identifier.scopus2-s2.0-85110762019en_US
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://hdl.handle.net/20.500.12418/12735
dc.identifier.wosWOS:000664458800007en_US
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartofJournal of Multi-Valued Logic & Soft Computingen_US
dc.relation.publicationcategoryUluslararası Hakemli Dergide Makale - Kurum Öğretim Elemanıtr
dc.rightsinfo:eu-repo/semantics/closedAccesstr
dc.subjectBipolartr
dc.subjectNeutrosophictr
dc.subjectReliabilitytr
dc.titleDeveloping a Novel Approach for Determining the Reliability of Bipolar Neutrosophic Sets and its Application in Multi-Criteria Decision-Makingen_US
dc.typeArticleen_US

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