Evaluation of the Effectiveness of the Security Protection System Based on the Improved AHP-FE Method

With the rapid development of information technology, security protection systems (SPS) have become vital for safeguarding data and resources. A significant decision-making challenge is presented to design an optimal security strategy amidst complex factors. This paper applies a combined approach of Fuzzy Evaluation (FE) and the Analytic Hierarchy Process (AHP) to enhance the design and evaluation of SPS. The methodology integrates FE for constructing an evaluation model to determine the appropriate weight of each index and AHP, paired with the Paired Majority Rule (PMR) and the Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE), to hierarchically analyze security factors. This approach creates a decision model based on consistency checks to derive the optimal security strategy. The results show that the proposed methods can effectively quantify complex security factors and generate optimized solutions for security protection. Experimental case studies validate the method's accuracy and reliability, demonstrating the wide application potential of integrating big data technology into complex decision-making processes for security systems.