Gaussian-based soft computing approach to alternative banking system for sustainable financial sector

dc.authorid0000-0003-4482-0505
dc.authorid0000-0002-8072-031X
dc.authorid0000-0002-9858-1266
dc.authorid0000-0002-4791-4091
dc.contributor.authorYang, Fan
dc.contributor.authorKalkavan, Hakan
dc.contributor.authorDinçer, Hasan
dc.contributor.authorYüksel, Serhat
dc.contributor.authorEti, Serkan
dc.date.accessioned2021-03-19T06:23:31Z
dc.date.available2021-03-19T06:23:31Z
dc.date.issued2021
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Lojistik Yönetimi Bölümü
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümü
dc.departmentİstanbul Medipol Üniversitesi, İMÜ Meslek Yüksekokulu, Bilgisayar Programcılığı Ana Bilim Dalı
dc.description.abstractThis study aims to identify the necessary strategies for the development of a sustainable financial system. For this purpose, a novel approach could be provided for soft computing with Gaussian-based fuzzy DEMATEL approach to understand the significant levels and impact-relation degrees of these criteria. For robustness check, this evaluation has also been performed for triangular and trapezoidal fuzzy sets. There are many novelties of this study. Firstly, computer science has a significant role in the decision-making process. Another specificity is that the use of Gaussian numbers with fuzzy numbers is a new area. In addition, interval type-2 fuzzy (IT2F) sets also provide a significant advantage in decision-making under uncertainty. The results demonstrate that the size of the alternative financing, investment in efficient projects, and effective advertisement/promotions are the most important items to affect the performance of alternative banking system of emerging economies. Hence, it is recommended that the new banking applications should be applied by the state or the state can provide some incentives for foreign banks to invest in emerging economies, such as tax reduction. Another important point is that the financial intermediations should generate a component financial analysis team to examine the financial reports of the companies in detail so that the financial credibility of these companies can be evaluated more effectively.
dc.description.sponsorshipGansu Department of Science and Technologyen_US
dc.identifier.citationYang, F., Kalkavan, H., Dinçer, H., Yüksel, S. ve Eti, S. (2021). Gaussian-based soft computing approach to alternative banking system for sustainable financial sector. Complexity, 2021. https://dx.doi.org/10.1155/2021/4570936
dc.identifier.doi10.1155/2021/4570936
dc.identifier.issn1076-2787
dc.identifier.issn1099-0526
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://dx.doi.org/10.1155/2021/4570936
dc.identifier.urihttps://hdl.handle.net/20.500.12511/6630
dc.identifier.volume2021
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherWiley-Hindawi
dc.relation.ispartofComplexityen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectSustainable Financial Sector
dc.subjectAlternative Banking System
dc.subjectComputing
dc.titleGaussian-based soft computing approach to alternative banking system for sustainable financial sector
dc.typeArticle

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