Korkmaz, EsraRiaz, MuhammadDeveci, MuhammetKadry, Seifedine2024-08-232024-08-2320240269-28211573-7462https://doi.org/10.1007/s10462-023-10640-yhttps://hdl.handle.net/20.500.12684/14535This 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.en10.1007/s10462-023-10640-yinfo:eu-repo/semantics/openAccessFuzzy N-soft setWeighted fuzzy N-soft setDecision-makingCyber harassmentDecision-MakingTheoretic ApproachModelA novel approach to fuzzy N-soft sets and its application for identifying and sanctioning cyber harassment on social media platformsArticle5712-s2.0-85181848040WOS:001140248600002Q1N/A