Introduction to Fuzzy Logic

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dc.contributor.authorSoltanifar, M.
dc.contributor.authorSharafi, H.
dc.contributor.authorHosseinzadeh Lotfi, F.
dc.contributor.authorPedrycz, W.
dc.contributor.authorAllahviranloo, T.
dc.date.accessioned2024-05-19T14:34:18Z
dc.date.available2024-05-19T14:34:18Z
dc.date.issued2023
dc.departmentİstinye Üniversitesien_US
dc.description.abstractIn real world, we sometimes face situations where we don’t know which decision is right or wrong, and the correct action is hidden from view. At this time, “fuzzy logic” offers a flexible and valuable proposition. In this way, the amount of uncertainty can be determined for each situation. For this reason, fuzzy logic is sometimes called doubtful logic because its results are created with doubts. In this chapter, this logic begins with the presentation of fuzzy sets and continues with the definitions of fuzzy numbers. Finally, one of the applications of fuzzy numbers, i.e. converting linguistic terms into fuzzy numbers for decision making in fuzzy logic, is presented. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.en_US
dc.identifier.doi10.1007/978-3-031-30403-3_3
dc.identifier.endpage45en_US
dc.identifier.issn2198-4182
dc.identifier.scopus2-s2.0-85159943592en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage31en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-031-30403-3_3
dc.identifier.urihttps://hdl.handle.net/20.500.12713/4456
dc.identifier.volume471en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofStudies in Systems, Decision and Controlen_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararasıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.titleIntroduction to Fuzzy Logicen_US
dc.typeBook Chapteren_US

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