A single-valued neutrosophic CIMAS-CRITIC-RBNAR decision support model for the financial performance analysis: A study of technology companies

Basit Öğe Kaydı
dc.authoridKara, Karahan/0000-0002-1359-0244
dc.authoridSimic, Vladimir/0000-0001-5709-3744
dc.contributor.authorKara, Karahan
dc.contributor.authorYalçın, Galip Cihan
dc.contributor.authorÇetinkaya, Aslı
dc.contributor.authorSimic, Vladimir
dc.contributor.authorPamucar, Dragan
dc.date.accessioned2025-01-21T16:35:25Z
dc.date.available2025-01-21T16:35:25Z
dc.date.issued2024
dc.departmentKırıkkale Üniversitesi
dc.description.abstractFinancial performance stands as a fundamental performance indicator that reflects companies' current financial conditions, providing information to investors and stakeholders about companies' financial well-being. In this research, a decision support system is developed for identifying the financial performance of companies traded on stock exchanges. This decision support system is based on a multicriteria decision -making (MCDM) approach and neutrosophic logic. The research introduces a novel method for calculating and ranking financial performance, using financial ratio indicators as selection criteria. The importance levels of financial ratio indicators are weighted through two different approaches. In the first approach, expert opinions and criteria importance assessment (CIMAS)-based on single -valued neutrosophic (SVN) sets are utilized for calculation. In the second approach, criteria importance through intercriteria correlation (CRITIC) -based on reference -based normalization processes is employed for criteria weighting. Subsequently, the results of the two criterion weightings are combined to calculate the final criterion weights. The SVN reference -based normalization alternative ranking (RBNAR) method is presented for ranking companies based on their financial performance. Thus, SVN-CIMASCRITIC-RBNAR is developed and its algorithm is presented. The novel hybrid decision support model is applied to a case study of technology companies traded on the Borsa Istanbul. The research results support the applicability of the SVN-CIMAS-CRITIC-RBNAR hybrid method. The results of the case study and sensitivity analyses affirm the applicability and robustness of the SVN-CIMAS-CRITIC-RBNAR hybrid model. The research provides detailed implications and insights for financial managers.
dc.identifier.doi10.1016/j.seps.2024.101851
dc.identifier.issn0038-0121
dc.identifier.issn1873-6041
dc.identifier.scopus2-s2.0-85186344399
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.seps.2024.101851
dc.identifier.urihttps://hdl.handle.net/20.500.12587/24117
dc.identifier.volume92
dc.identifier.wosWOS:001218686900001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Science Inc
dc.relation.ispartofSocio-Economic Planning Sciences
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241229
dc.subjectFinancial performance; Single-valued neutrosophic sets; CIMAS; CRITIC; Reference-based normalization alternative ranking
dc.titleA single-valued neutrosophic CIMAS-CRITIC-RBNAR decision support model for the financial performance analysis: A study of technology companies
dc.typeArticle

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
[ X ]
İsim:
Tam Metin/Full Text
Boyut:
5.08 MB
Biçim:
Adobe Portable Document Format
İndir

Koleksiyon

WOS İndeksli Yayınlar Koleksiyonu
Makale Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu

We collect and process your personal information for the following purposes: Authentication, Preferences, Acknowledgement and Statistics.
To learn more, please read our privacy policy.

Customize