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| No. | Method | Introduction | Advantages | Disadvantages |
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| 1 | Stochastic analytical hierarchy process (AHP) [22] | Used to calculate the weight of indicators | The decision maker can choose the appropriate method to rate the relative importance of evaluation indexes to express the evaluation value according to their personal preferences, giving them sufficient flexibility. | A relatively large random uncertainty. |
| 2 | Fuzzy comprehensive analysis | Based on mathematics, this method applies the principle of synthesizing fuzzy relations. It quantifies some factors with unclear boundaries and that are otherwise difficult to quantify. | Digital methods deal with fuzzy evaluation objects; reasonable quantitative evaluation can be made using ambiguous data [23]. | Computation is complex and subjectivity is high. |
| 3 | Game theory (GT) | A mathematical construct that assumes a small number of rational players who have a limited number of actions or strategies available to them [24]. | Based on the idea that the two people use their own strategies to change their confrontation strategies in an equal game to achieve the goal of winning. | Used for comparisons between limited participants |
| 4 | Probabilistic Neural Networks (PNN) | A kind of radial basis function neural network, widely used in pattern classification [25]. | The learning process is simple, the training speed is fast, the classification is accurate, and the fault tolerance is high. | The quantitative analysis requires sufficient data. |
| 5 | Genetic algorithm (GA) | An iterative stochastic algorithm in which natural evolution is used to model the search process [26, 27]. | The evaluation process is simple; the iterations are performed using random probability mechanisms. | Implementation requires complicated programming and sufficient data. |
| 6 | Risk Matrix [28] | A qualitative risk assessment and analysis method that can synthetically evaluate the possibility of risk occurrence and the severity of injury. | Generally used in the absence of complete and accurate historical data. | The results of qualitative analysis and prediction are ambiguous. |
| 7 | GRA method | For the factors between two systems, the measure of the magnitude of the correlation that changes with time or different objects is called the correlation degree [17, 18]. | GRA provides a quantitative measure for the development and change in a system, which is very suitable for dynamic process analysis. | The correlation between factors is ambiguous. |
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