Cyber-Security and Social Media Risks Assessment by Using the Novel Concepts of Complex Cubic T-Spherical Fuzzy Information

Abstract

Over the past 20 years, the emergence of social media and its developments have rapidly changed communication and information technology. Social media plays a necessary part in accessing information and communication. In spite of its many advantages, users have also been facing many threats on social media platforms. This research aims to analyze and resolve these threats by using the new concepts of complex cubic T spherical fuzzy sets (CCuTSFS) that have a broad structure including degrees of membership, neutral-membership, and non-membership. It does a better job of modeling uncertainty than any other preexisting structure. Furthermore, we defined the concepts of the Cartesian product (CP) between CCuTSFSs, complex cubic T spherical fuzzy relation (CCuTSFR) and the types of CCuTSFRs with appropriate examples. This study looked at the relationship between different types of security and threats on social media for the first time in fuzzy set theory. The proposed methods demonstrate how to control the effects of threats by using valid security methods. Finally, the benefits of the presented strategies are explained in the comparative study.

Development of hamming and hausdorff distance metrics for cubic intuitionistic fuzzy hypersoft set in cement storage quality control: Development and evaluation

“…Numerous other scholars and researchers continue exploring the vast landscape of IFS similarity measures, each striving to address specific problems and uncover novel perspectives [20][21][22][23]. Similarly, highly complex and versatile structures have been developed in various industrial applications, including medical diagnostics, decision-making, pattern recognition, and risk analysis from these hybrid fuzzy structures [24][25][26][27].…”