Classifying the properties of stainless steel materials for biomedical applications under an intuitionistic fuzzy environment: An FMEA-based TOPSIS-sort methodology

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dc.contributor.authorSinger, Hilal
dc.contributor.authorOzcelik, Tijen Over
dc.date.accessioned2024-09-25T19:56:32Z
dc.date.available2024-09-25T19:56:32Z
dc.date.issued2024
dc.departmentAbant İzzet Baysal Üniversitesien_US
dc.description.abstractThe demand for biomedical metal materials has increased in parallel with the rise in the elderly population. Stainless steels are commonly chosen for biomedical applications. Evaluating material properties plays a crucial role in minimizing the risk of undesirable events. Therefore, this study analyzes the properties of stainless steel materials from a risk perspective. The TOPSIS-Sort and FMEA methods are hybridized by considering the intuitionistic fuzzy set to handle the issue. The intuitionistic fuzzy FMEA procedure is employed to construct the risk matrix, while the intuitionistic fuzzy TOPSIS-Sort method is used to categorize the material properties into three distinct levels based on their significance. Furthermore, the adequacy of the evaluation framework is assessed through sensitivity analyses. As a result of the calculations, the degrees of importance corresponding to the high importance category are assigned to compatibility (0.1530), reactivity (0.1797), corrosion resistance (0.1840), ion release (0.1919), longevity (0.2154), infection (0.2221), osseointegration (0.2298), fatigue resistance (0.2385), and funding trends (0.2568). The research methodology provides a valuable guide for the evaluation of biomaterials.en_US
dc.description.sponsorshipThis study analyzes the properties of stainless steel materials via an integrated IF-FMEA-TOPSIS-Sort approach. The identified properties undergo examinations to assess their contributions to implant failures and risks. Throughout the entire study, expert opinions are incorpo-rated. As a result of the calculations, the degrees of importance corre-sponding to the high importance category are assigned to compatibility, reactivity, corrosion resistance, ion release, longevity, infection, osseointegration, fatigue resistance, and funding trends. Their crisp TOPSIS-Sort scores are 0.1530, 0.1797, 0.1840, 0.1919, 0.2154, 0.2221, 0.2298, 0.2385, and 0.2568, respectively. The sensitivity anal-ysis conducted under various scenarios supports the model's reliability. The correlations between the results of these scenarios predominantly indicate a very strong relationship. The research methodology provides a valuable guide for the evaluation of biomaterials.en_US
dc.identifier.doi10.1016/j.mtcomm.2024.110183
dc.identifier.issn2352-4928
dc.identifier.scopus2-s2.0-85201773780en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.1016/j.mtcomm.2024.110183
dc.identifier.urihttps://hdl.handle.net/20.500.12491/13323
dc.identifier.volume40en_US
dc.identifier.wosWOS:001301255300001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofMaterials Today Communicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmzYK_20240925en_US
dc.subjectBiomaterialen_US
dc.subjectFMEAen_US
dc.subjectIntuitionistic fuzzy seten_US
dc.subjectStainless steelen_US
dc.subjectTOPSIS-sorten_US
dc.titleClassifying the properties of stainless steel materials for biomedical applications under an intuitionistic fuzzy environment: An FMEA-based TOPSIS-sort methodologyen_US
dc.typeArticleen_US

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