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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Date
2024
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Access Rights
info:eu-repo/semantics/openAccess
Abstract
This 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.
Description
Keywords
Fuzzy N-soft set, Weighted fuzzy N-soft set, Decision-making, Cyber harassment, Decision-Making, Theoretic Approach, Model
Journal or Series
Artificial Intelligence Review
WoS Q Value
N/A
Scopus Q Value
Q1
Volume
57
Issue
1
