Multiple attribute group decision making approach for selection of robot under induced bipolar neutrosophic aggregation operators

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dc.authoridJamil, Muhammad/0000-0001-8210-1400
dc.authorid, Abdul Bariq/0000-0003-3902-1944
dc.contributor.authorJamil, Muhammad
dc.contributor.authorAfzal, Farkhanda
dc.contributor.authorMaqbool, Ayesha
dc.contributor.authorAbdullah, Saleem
dc.contributor.authorAkgul, Ali
dc.contributor.authorBariq, Abdul
dc.date.accessioned2024-12-24T19:25:06Z
dc.date.available2024-12-24T19:25:06Z
dc.date.issued2024
dc.departmentSiirt Üniversitesi
dc.description.abstractIn current piece of writing, we bring in the new notion of induced bipolar neutrosophic (BN) AOs by utilizing Einstein operations as the foundation for aggregation operators (AOs), as well as to endow having a real-world problem-related application. The neutrosophic set can rapidly and more efficiently bring out the partial, inconsistent, and ambiguous information. The fundamental definitions and procedures linked to the basic bipolar neutrosophic (BN) set as well as the neutrosophic set (NS), are presented first. Our primary concern is the induced Einstein AOs, like, induced bipolar neutrosophic Einstein weighted average (I-BNEWA), induced bipolar neutrosophic Einstein weighted geometric (I-BNEWG), as well as their different types and required properties. The main advantage of employing the offered methods is that they give decision-makers a more thorough analysis of the problem. These strategies whenever compare to on hand methods, present complete, progressively precise, and accurate result. Finally, utilizing a numerical representation of an example for selection of robot, for a problem involving multi-criteria community decision making, we propose a novel solution. The suitability ratings are then ranked to select the most suitable robot. This demonstrates the practicality as well as usefulness of these novel approaches.
dc.identifier.doi10.1007/s40747-023-01264-4
dc.identifier.endpage2779
dc.identifier.issn2199-4536
dc.identifier.issn2198-6053
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85179664788
dc.identifier.scopusqualityQ1
dc.identifier.startpage2765
dc.identifier.urihttps://doi.org/10.1007/s40747-023-01264-4
dc.identifier.urihttps://hdl.handle.net/20.500.12604/6260
dc.identifier.volume10
dc.identifier.wosWOS:001130427500002
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer Heidelberg
dc.relation.ispartofComplex & Intelligent Systems
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241222
dc.subjectDecision-making
dc.subjectInduced aggregation operator
dc.subjectI-BNEWA
dc.subjectI-BNEOWA
dc.subjectI-BNEHA
dc.subjectI-BNEWG
dc.subjectI-BNEOWG
dc.subjectI-BNEHG
dc.titleMultiple attribute group decision making approach for selection of robot under induced bipolar neutrosophic aggregation operators
dc.typeArticle

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