Financial Performance Evaluation of Leading Retail Companies in BIST Utilizing Decomposed Fuzzy TOPSIS

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dc.contributor.authorBarutbas, Kaan
dc.contributor.authorBulut, Bayram
dc.contributor.authorOtay, Irem
dc.date.accessioned2026-04-04T18:55:19Z
dc.date.available2026-04-04T18:55:19Z
dc.date.issued2024
dc.departmentİstanbul Bilgi Üniversitesi
dc.descriptionInternational Conference on Intelligent and Fuzzy Systems (INFUS) -- JUL 16-18, 2024 -- Istanbul Tech Univ, Canakkale, TURKEY
dc.description.abstractEvaluation of the financial performance of companies has a wide range of applications and indicators. The evaluation process has become much more complicated and crucial especially during and after the pandemics. Fuzzy sets were first introduced to be able to cope with uncertainty and vagueness in real-world applications. Since its introduction, various extensions of fuzzy sets have developed. In this paper, decomposed fuzzy sets (DFS) which were recently proposed fuzzy set extensions have been utilized. In this study, the Decomposed Fuzzy Technique for Order Preference by Similarities to Ideal Solution (DF TOPSIS) has been applied to assess leading retail companies in Borsa Istanbul (BIST). According to this approach, the criteria set has been determined by literature review and experts' opinions and the leading companies in ISE have been evaluated based on the determined criteria set. Considering the vagueness and imprecise information in the decision-making environment, we believe this study will create a strong roadmap for those such as stakeholders and investors who are interested in analyzing the financial performance of the companies.
dc.description.sponsorshipCanakkale Onsekiz Mart Univ
dc.identifier.doi10.1007/978-3-031-67195-1_16
dc.identifier.doi10.1007/978-3-031-67195-1_16
dc.identifier.endpage132
dc.identifier.isbn978-3-031-67194-4
dc.identifier.isbn978-3-031-67195-1
dc.identifier.issn2367-3370
dc.identifier.issn2367-3389
dc.identifier.scopus2-s2.0-85206983721
dc.identifier.scopusqualityQ4
dc.identifier.startpage123
dc.identifier.urihttps://doi.org/10.1007/978-3-031-67195-1_16
dc.identifier.urihttps://hdl.handle.net/11411/10364
dc.identifier.volume1089
dc.identifier.wosWOS:001329232000016
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer International Publishing Ag
dc.relation.ispartofIntelligent and Fuzzy Systems, Vol 2, Infus 2024
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260402
dc.snmzKA_Scopus_20260402
dc.subjectFinancial Performance
dc.subjectFinancial Indicators
dc.subjectFuzzy Mcdm
dc.subjectDecomposed Fuzzy Topsis
dc.subjectDecomposed Fuzzy Sets
dc.titleFinancial Performance Evaluation of Leading Retail Companies in BIST Utilizing Decomposed Fuzzy TOPSIS
dc.typeConference Object

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