Simple Additive Weighting (SAW) Method in Fuzzy Environment

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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.accessioned2024-05-19T14:34:25Z
dc.date.available2024-05-19T14:34:25Z
dc.date.issued2023
dc.departmentİstinye Üniversitesien_US
dc.description.abstractThis chapter explores the expansion of the Simple Additive Weighting (SAW) method in interval and fuzzy environments. The SAW method, a popular decision-making approach, is enhanced by incorporating interval arithmetic and fuzzy logic. Real-world examples illustrate the practical implications of the expanded SAW method, demonstrating its versatility in diverse domains. The abstract highlights the benefits and challenges of the interval and fuzzy SAW method and emphasizes its potential as a valuable tool for informed decision-making in uncertain and imprecise contexts. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.en_US
dc.identifier.doi10.1007/978-3-031-44742-6_5
dc.identifier.endpage140en_US
dc.identifier.issn1860-949X
dc.identifier.scopus2-s2.0-85184680925en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage117en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-031-44742-6_5
dc.identifier.urihttps://hdl.handle.net/20.500.12713/4481
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.titleSimple Additive Weighting (SAW) Method in Fuzzy Environmenten_US
dc.typeBook Chapteren_US

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