Non-Compensatory Methods in Uncertainty Environment

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.accessioned2024-05-19T14:34:24Z
dc.date.available2024-05-19T14:34:24Z
dc.date.issued2023
dc.departmentİstinye Üniversitesien_US
dc.description.abstractThis chapter discusses non-compensatory methods with fuzzy indicator values. These methods are applicable to problems where we want to select an alternative among the available choices. The methods discussed in this chapter include fuzzy Lexicographic, fuzzy Dominance, fuzzy Max–Min, fuzzy Conjunctive Satisfying, and fuzzy Disjunctive Satisfying. In all methods, the assumption is that all indicator values are fuzzy. Non-compensatory methods have been developed using fuzzy ranking functions, and examples are provided for each method. Different ranking functions are used to solve the examples. In all examples, the results depend not only on the fuzzy values of the indicators but also on the ranking function. All non-compensatory methods are utilized in a fuzzy environment to choose one alternative from the available choices. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.en_US
dc.identifier.doi10.1007/978-3-031-44742-6_4
dc.identifier.endpage115en_US
dc.identifier.issn1860-949X
dc.identifier.scopus2-s2.0-85184690350en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage101en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-031-44742-6_4
dc.identifier.urihttps://hdl.handle.net/20.500.12713/4480
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.titleNon-Compensatory Methods in Uncertainty Environmenten_US
dc.typeBook Chapteren_US

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