Classification of XTEKS companies during COVID-19 pandemic using fuzzy-analytic hierarchy process and fuzzy-C-means

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dc.contributor.authorYiğit, Fatih
dc.date.accessioned2023-10-18T12:17:34Z
dc.date.available2023-10-18T12:17:34Z
dc.date.issued2023en_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractAssessment of companies is vital for an accurate investment decision. Financial ratios are essential performance indicators. However, there is no consensus in their comparison among all financial ratios. Expert opinions are an indispensable resource for such assessment. This study uses an integrated approach to benefit from expert opinions. Clustering is an important area of unsupervised learning. Clustering, when assigned to classes, can also be used for classification. It is vital to classify data to apply for decision-making. This study applies the Fuzzy Analytic Hierarchy Process (FAHP) and Fuzzy C-Means (FCM) for clustering and classification as a part of machine learning. Financial ratios are widely used to compare different companies. This study focuses on companies under the "Textile Leather Index" registered in the Istanbul Stock Exchange (BIST) for applying the proposed model. The study employed current financial results and the positive and negative trends of the last year for classification. The results allow the decision-maker to choose the right company to invest in. Among 17 companies, 2 are classified as A class. To the best of our research, using trend values and integrating FAHP and FCM for classification is new in the literature.en_US
dc.identifier.citationYiğit, F. (2023). Classification of XTEKS companies during COVID-19 pandemic using fuzzy-analytic hierarchy process and fuzzy-C-means. In International Conference on Intelligent and Fuzzy Systems (pp. 609-616). Cham: Springer Nature Switzerland.en_US
dc.identifier.endpage616en_US
dc.identifier.isbn9783031397769
dc.identifier.issn2367-3370
dc.identifier.scopus2-s2.0-85172731130
dc.identifier.scopusqualityQ4
dc.identifier.startpage609en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12939/4161
dc.identifier.volume759en_US
dc.indekslendigikaynakScopus
dc.institutionauthorYiğit, Fatih
dc.language.isoen
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofLecture Notes in Networks and Systems
dc.relation.isversionof10.1007/978-3-031-39777-6_71en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCompany Evaluationen_US
dc.subjectCOVID-19en_US
dc.subjectFuzzy Analytic Hierarchy Process (FAHP)en_US
dc.subjectMulti-Criteria Decision Makingen_US
dc.titleClassification of XTEKS companies during COVID-19 pandemic using fuzzy-analytic hierarchy process and fuzzy-C-means
dc.typeConference Object

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