Multi Attributive Border Approximation Area Comparison (MABAC) in Uncertainty Environment

Basit Öğe Kaydı
dc.contributor.authorHosseinzadeh Lotfi, F.
dc.contributor.authorAllahviranloo, T.
dc.contributor.authorPedrycz, W.
dc.contributor.authorShahriari, M.
dc.contributor.authorSharafi, H.
dc.contributor.authorRazipour, GhalehJough, S.
dc.date.accessioned2024-05-19T14:34:23Z
dc.date.available2024-05-19T14:34:23Z
dc.date.issued2023
dc.departmentİstinye Üniversitesien_US
dc.description.abstractThis chapter introduces the concept of Fuzzy MABAC (Multi-Attributive Border Approximation Area Comparison), an innovative Multiple Attribute Decision Making (MADM) method. The chapter begins by providing a comprehensive overview of the MABAC method. To illustrate the practical implementation of MABAC, a numerical example is presented, utilizing crisp data. Building upon the understanding of MABAC, the chapter then explore the intricacies of fuzzy MABAC. The algorithm for fuzzy MABAC is elucidated and its handling in decision-making problems involving imprecise or uncertain data is demonstrated. To illustrate the efficacy of fuzzy MABAC, the method is applied to rank bank clerks according to four criteria. The step-by-step process of employing fuzzy MABAC to determine rankings is discussed. By the end of this chapter, readers will have a comprehensive understanding of both MABAC and fuzzy MABAC, and their practical applications in MADM. The numerical example and the real-life application in ranking bank clerks highlight the potential of fuzzy MABAC as an effective decision-making tool in complex scenarios. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.en_US
dc.identifier.doi10.1007/978-3-031-44742-6_11
dc.identifier.endpage289en_US
dc.identifier.issn1860-949X
dc.identifier.scopus2-s2.0-85184700069en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage275en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-031-44742-6_11
dc.identifier.urihttps://hdl.handle.net/20.500.12713/4474
dc.identifier.volume1121en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofStudies in Computational Intelligenceen_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararasıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.titleMulti Attributive Border Approximation Area Comparison (MABAC) in Uncertainty Environmenten_US
dc.typeBook Chapteren_US

Dosyalar

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu