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dc.contributor.authorDemir E.
dc.contributor.authorKaramaşa Ç.
dc.contributor.authorAltınırmak S.
dc.contributor.authorErdoğan N.K.
dc.contributor.authorOkoth B.
dc.date.accessioned2020-07-09T20:55:07Z
dc.date.available2020-07-09T20:55:07Z
dc.date.issued2020
dc.identifier.isbn9.78303E+12
dc.identifier.issn2194-5357
dc.identifier.urihttps://doi.org/10.1007/978-3-030-23756-1_112
dc.identifier.urihttps://hdl.handle.net/11421/23888
dc.descriptionInternational Conference on Intelligent and Fuzzy Systems, INFUS 2019 -- 23 July 2019 through 25 July 2019 -- -- 228529en_US
dc.description.abstractThe Balanced Scorecard introduces solutions to the problems that arise from the failures encountered in strategic management, and the inadequacy of traditional performance management systems that lag behind in the information age, especially, with respect to today’s intensely competitive environment to which enterprises are increasingly exposed. In this study, the performance of 7 factoring and financial leasing firms listed at the Istanbul Stock Exchange (BIST) were evaluated using the Balanced Scorecard approach under 4 main criteria. Pythagorean fuzzy sets are considered as a better way to represent expert-judgments under inconsistent and indeterminate environment. After that, the TODIM methodology, which analyzes decision makers’ psychological behaviors under risk, was used to rank the firms. While the economic loyalty sub-criterion was found as the most important one, learning and growth came out as the least important one after applying interval-valued Pythagorean fuzzy AHP. Finally, factoring and financial leasing firms were ranked according to decision makers under the balanced scorecard performance criteria and followed by a sensitivity analysis. © 2020, Springer Nature Switzerland AG.en_US
dc.language.isoengen_US
dc.publisherSpringer Verlagen_US
dc.relation.isversionof10.1007/978-3-030-23756-1_112en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBalanced Scorecarden_US
dc.subjectFactoring and financial leasing Pythagorean fuzzy setsen_US
dc.subjectInterval-valued Pythagorean fuzzy AHPen_US
dc.subjectPythagorean fuzzy TODIMen_US
dc.titleMeasuring the performance of factoring and financial leasing firms under balanced scorecard perspective using pythagorean fuzzy setsen_US
dc.typeconferenceObjecten_US
dc.relation.journalAdvances in Intelligent Systems and Computingen_US
dc.contributor.departmentAnadolu Üniversitesien_US
dc.identifier.volume1029en_US
dc.identifier.startpage944en_US
dc.identifier.endpage952en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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