On the WABL defuzzification method for intuitionistic fuzzy numbers

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dc.contributor.authorMert A.
dc.date.accessioned2019-10-26T21:12:00Z
dc.date.available2019-10-26T21:12:00Z
dc.date.issued2020
dc.departmentEge Üniversitesien_US
dc.descriptionInternational Conference on Intelligent and Fuzzy Systems, INFUS 2019 -- 23 July 2019 through 25 July 2019 -- 228529en_US
dc.description.abstractIntuitionistic fuzzy sets (IFSs) have been proposed by Atanassov as an extension of classical fuzzy sets (FSs) originated from an early work of Zadeh. The main advantage of the IFSs is their property to deal with the uncertainty that may be included by information. IFSs have two types of functions: membership function which is also employed to describe the conventional FSs and non-membership function. With these two functions, IFSs better describe the real status of the information. IFSs especially Intuitionistic Fuzzy Numbers (IFNs) have found application in various areas such as edge detection, image segmentation, decision making, fault-tree analysis, pattern recognition etc. Most of the applications of these areas are performed in digitalized environments. But, still our computers are designed to work with crisp numbers. That means we are still in need of well-defined defuzzification methods for IFNs. In this study, we adopted WABL (Weighted Averaging Based on Levels) defuzzification method into IFNs. We exposed some useful properties of WABL method in order to make its usage easier in application fields. © 2020, Springer Nature Switzerland AG.en_US
dc.identifier.doi10.1007/978-3-030-23756-1_7
dc.identifier.endpage47en_US
dc.identifier.isbn9783030237554
dc.identifier.issn2194-5357
dc.identifier.issn2194-5357en_US
dc.identifier.scopus2-s2.0-85069501184en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage39en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-030-23756-1_7
dc.identifier.urihttps://hdl.handle.net/11454/15600
dc.identifier.volume1029en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Verlagen_US
dc.relation.ispartofAdvances in Intelligent Systems and Computingen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDefuzzification methoden_US
dc.subjectIntuitionistic Fuzzy Numbersen_US
dc.subjectWeighted Averaging Based on Levelsen_US
dc.titleOn the WABL defuzzification method for intuitionistic fuzzy numbersen_US
dc.typeConference Objecten_US

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