A Study and Evaluation of Network Security by Employing Decision-Making Approach Based on Bipolar Complex Fuzzy Yager Aggregation Operators

Abstract

The evaluation and assessment of network security is a decision-making (DM) problem that occurs in an environment with multiple criteria, which have uncertainty, bipolarity, and extra-related information. The traditional approaches fail to address the need to acquire a wide range of information for the assessment, especially in situations where the criteria have both positive and negative aspects and contain extra fuzzy information. Therefore, in this manuscript, we aim to introduce a DM approach based on the concept of bipolar complex fuzzy (BCF) Yager aggregation operators (AOs). The related properties of these ag-gregation operators (AOs) are also discussed. Moreover, in this article, we diagnose the Yager operations in the setting of BCF. The basic idea of the interpreted operators and DM approach is to access the problem linked with the network security that is to evaluate and select the finest network security control and network security protocols for protecting and safeguarding the network of any organization or home (case studies). Finally, to exhibit the supremacy and success of the described theory, we examine them with the prevailing theories.

Keywords

fuzzy logic / fuzzy set theory / security

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Funding

Ongoing Research Funding Program(Grant ORF-2025-749)

King Saud University, Riyadh, Saudi Arabia