## 5 Conclusions and Prospects  
### Conclusions  
This paper centers on the research object of quality risk evaluation in the whole process of assembly building, deeply analyzes the potential risk factors in each stage of the whole life cycle of assembly building projects, and puts forward corresponding countermeasures. Through the comprehensive use of game theory-combinatorial empowerment and three-dimensional cloud model, it not only provides a scientific basis for the quality management of assembled building but it also verifies the effectiveness and applicability of the method in practice. The conclusions of the study are as follows:  
1. This paper systematically analyzes the potential quality risk factors in the whole process of assembled buildings from the five stages of decision-making and design, bidding and procurement, production and transportation, on-site assembly and construction, and operation and maintenance, identifies the key risk points, and puts forward targeted coping strategies. On this basis, a quality risk evaluation index system for the whole process of assembled buildings, containing 20 secondary indicators, is established, which provides a theoretical framework for the quantitative assessment of quality risk.
2. Applying the game theory-combinatorial method for quality risk evaluation and introducing the OPA (Ordinal Priority Approach) to calculate the subjective weights and the anti-entropy weight method to calculate the objective weights, through expert scoring and weight optimization, the weights of the risk factors are determined objectively and impartially, which improves the scientific nature and accuracy of the risk assessment. The game theory-combinatorial method effectively integrates the subjective judgment of experts and the objective analysis of data, which enhances the credibility and practicality of the model.
3. A three-dimensional cloud model is used to evaluate the quality risk of the whole process of assembly building, combining the three dimensions of risk probability, risk consequence, and risk concealment to quantitatively analyze the risk characteristics of each index. Example validation shows that the overall risk level is II, which is highly consistent with the actual situation of the project, and the risk level of key risk indicators U\({}_{13}\) and U\({}_{32}\) are both III, while the rest of the risk indicators are all II, reflecting the significant impact of frequent design adjustments and the quality of raw materials themselves on the quality risk. Comparison results with the traditional two-dimensional cloud model show that the three-dimensional cloud model can more accurately identify high hidden risks, especially in the risk evaluation of U\({}_{37}\) and U\({}_{51}\), and that the assessment results of the three-dimensional cloud model are closer to the actual project situation than the two-dimensional cloud model.  
In conclusion, this paper constructs a comprehensive evaluation method applicable to the quality risk of the whole process of assembled buildings through the combination of game-theoretic-combinatorial-empowerment and three-dimensional cloud modeling, which can accurately identify and quantify the complex quality risk and provides scientific support for quality management and decision-making related to assembled buildings. Meanwhile, the theoretical framework and practical validation of the method show that it has high generalizability and can provide reference for the risk evaluation of other types of construction projects.