A novel approach to fuzzy N-soft sets and its application for identifying and sanctioning cyber harassment on social media platforms

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dc.authoridRiaz, Muhammad/0000-0001-8115-9168en_US
dc.authoridKadry, Seifedine/0000-0002-1939-4842en_US
dc.authoridKorkmaz, Esra/0000-0002-1065-5612en_US
dc.authorscopusid58043451000en_US
dc.authorscopusid57611620500en_US
dc.authorscopusid55734383000en_US
dc.authorscopusid55906598300en_US
dc.authorwosidRiaz, Muhammad/AAB-9948-2019en_US
dc.authorwosidKadry, Seifedine/C-7437-2011en_US
dc.contributor.authorKorkmaz, Esra
dc.contributor.authorRiaz, Muhammad
dc.contributor.authorDeveci, Muhammet
dc.contributor.authorKadry, Seifedine
dc.date.accessioned2024-08-23T16:07:11Z
dc.date.available2024-08-23T16:07:11Z
dc.date.issued2024en_US
dc.departmentDüzce Üniversitesien_US
dc.description.abstractThis study proposes a novel approach to fuzzy N-soft sets for handling cases where membership degree and grade are not related. In the standard model of fuzzy N-soft sets, membership degree and grade are assumed to be directly proportional. This assumption may not hold true in real-world situations, so a more flexible and nuanced approach is necessary. The proposed approach includes two novel algorithms for decision-making problems involving fuzzy N-soft sets. As a result, it is able to be adaptable and sensitive when addressing uncertainties in real-world scenarios, with a particular focus on identifying and sanctioning cyber harassment on social media platforms. Additionally, an innovative perspective and approach to decision-making problems involving fuzzy N-soft sets is introduced by extending an established selection process that prioritizes the dominant parameter, resulting in more precise and dependable outcomes. Our study offers an effective tool for decision-making in various fields, including e-commerce, social media, and product reviews.en_US
dc.identifier.doi10.1007/s10462-023-10640-y
dc.identifier.issn0269-2821
dc.identifier.issn1573-7462
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85181848040en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1007/s10462-023-10640-y
dc.identifier.urihttps://hdl.handle.net/20.500.12684/14535
dc.identifier.volume57en_US
dc.identifier.wosWOS:001140248600002en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofArtificial Intelligence Reviewen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectFuzzy N-soft seten_US
dc.subjectWeighted fuzzy N-soft seten_US
dc.subjectDecision-makingen_US
dc.subjectCyber harassmenten_US
dc.subjectDecision-Makingen_US
dc.subjectTheoretic Approachen_US
dc.subjectModelen_US
dc.titleA novel approach to fuzzy N-soft sets and its application for identifying and sanctioning cyber harassment on social media platformsen_US
dc.typeArticleen_US

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