Balancing Usability and Protection: A Decision-Making Approach to Computer Network Security Evaluation using the Neutrosophic Fuzzy Dombi Operator

Abstract

 In an era where data is a vital organizational asset, the challenge of safeguarding digital 
infrastructure while maintaining system usability has become increasingly complex. Network 
security solutions must not only protect against evolving threats but also support efficient and 
user-friendly operations. This study explores a multi-criteria decision-making (MCDM) approach 
to evaluate various computer network security strategies by balancing the trade-offs between 
usability, scalability, responsiveness, and compliance. By integrating qualitative and quantitative 
evaluation metrics, this framework provides a systematic methodology for selecting optimal 
security systems that align with organizational needs. The framework has two main steps; in the 
first step we show the criteria weights by the WENSLO method. In the second step we show rank 
of alternatives by the COBRA method. We use the Trapezoidal Fuzzy Neutrosophic numbers 
(TFNNs) to deal with uncertainty. Also, we use the Dombi operator with the TFNNs to combine 
the different TFNNs. 

DOI: 10.5281/zenodo.15186463