## 3 Security Evaluation Model  
### Comprehensive Empoucement Based on AHP-Improved Entropy Weight Method  
There are two main methods for determining weight: the subjective and objective weighting methods. The subjective weighting method considers the subjective importance of decision-makers on each evaluation index, such as the analytic hierarchy process (AHP), optimal sequence diagram method, and link score method. The objective weighting method is mainly based on the correlation and degree of variation of the evaluation index itself, such as the entropy weight method, factor analysis method, information weight method, and other methods to determine the weight. Although the subjective weighting method can fully consider the subjective judgment of decision-makers, it relies too much on the subjective judgment of decision-makers, which may lead to an unreasonable weight distribution. Although an objective weighting method can avoid interference from subjective factors, it may be affected by random errors in the sample, resulting in an inaccurate weight distribution. Therefore, a single-weighting method cannot yield satisfactory results.  
In view of the complexity of the information of the research object, this study chose a combination of the AHP and entropy weight methods for combination weighting, which is mainly based on the respective advantages and complementarity of these two methods and has been widely used in different fields [25; 26; 27] (Figure 3). Among them, the AHP method combines qualitative and quantitative decision making. It can help deal with complex decision-making problems by constructing a hierarchical structure model, which is especially good at dealing with subjective and fuzzy problems but is limited by the professional experience and judgment of the decision-makers. The entropy weight rule is an objective weighting method that uses the concept of information entropy to determine the weight of an index and reduce the subjective influence. However, the calculated results may be affected by extreme or abnormal index data. The combination of the AHP and entropy weight methods can not only retain the subjective judgment of decision-makers but also make full use of objective data to obtain more comprehensive and balanced weight results and improve the accuracy and reliability of the evaluation. This combination weighting method has unique advantages in dealing with complex decision-making problems, particularly in situations where subjective and objective factors must be balanced, such as in the safety assessment of stadium renovation construction.  
\begin{table}
\begin{tabular}{c c c} \hline \hline
**Grade** & **Security** & **Control Strategy** & **Score Range** \\ \hline I & extremely high safety & Advance the work in an orderly manner in accordance & (8–10) \\ II & high safety & Monitor and rectify individual factors. & (6–8) \\ III & general safety & Take countermeasures to improve safety & (4–6) \\ IV & low safety & If the safety level is raised to level III or above, the operation can continue. & (2–4) \\ V & extremely low safety & Safety is very low; you must stop the operation. & (0–2) \\ \hline \hline \end{tabular}
\end{table}
Table 1: Quantitative table of safety assessment level.