## 2 Related Work
### Factual Decision Trial and Evaluation Laboratory Method (DEMATEL)  
In the field of social science, in the 1970s, American scholars [PERSON] and [PERSON] created DEMATEL (Factual Decision Trial and Evaluation Laboratory Method), which is based on graph theory and matrix theory, and conducted a comprehensive analysis of the internal correlation between multiple factors influencing complex systems [26; 27; 28]. In fact, DEMATEL is just one of several multiple-criteria decision analysis (MCDA) methods. In 2022, [PERSON], [PERSON] et al. [29] conducted a complete review study on MCDA by using bibliometric analysis. MCDA can balance the relationship between many conflicting factors and is suitable for solving decision problems with multifactor constraints. Among them, the Analytical Hierarchy Process (AHP)/Analytical Network Process (ANP), Interpretative Structural Model (ISM), Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) and DEMATEL, or a combination thereof, have been widely used in multifactor analysis. In comparison, DEMATEL is superior to other methods in analysing factor causality because it provides the overall level of influence of each factor, as well as the interactions between them, and this network relationship can also be visualized for easy understanding [26; 27]. The above characteristics of DEMATEL have good inspiration for the cause-based research idea proposed in this paper, so we focus on the novel abilities of DEMATEL and its technological applications. In practical applications, the method is deeply integrated with other methods and has been continuously improved and expanded [30; 31; 32; 33; 34; 35; 36]. In 2021, aiming at the identification of key influencing factors affecting the user experience of mobile reading apps, [PERSON] et al. [30] established a fuzzy DEMATEL model by introducing triangular fuzzy numbers and by extending the single value of the comparison matrix to the fuzzy interval, and they provided a suitable judgement space for decision makers. It effectively solved the defects of the traditional DEMATEL method in which the subjective deviation of expert judgement is large, and it is difficult to be directly expressed by accurate numbers. In 2022, [PERSON] et al. [31] constructed an evaluation index system in view of the institutional obstacles faced by China's integration innovation, used the AHP-DEMATEL method to conduct an empirical analysis of this problem, identified key institutional obstacles such as the confidentiality system and intellectual property system, and provided countermeasures and suggestions for decision makers to carry out reform and innovation. In 2022, aiming at the problem of risk identification and control in enterprise product development, [PERSON] et al. [32] combined network analysis with DEMATEL, established the ANP-DEMATEL model, studied the causal relationship between various risk factors and their relative importance, and identified six key influencing factors in the process of product development. In view of the important theoretical significance and application value of the DEMATEL method in the study of complex systems, [PERSON] et al. [26; 28] conducted a comprehensive study on the DEMATEL method from multiple perspectives, such as basic theory, operation logic, and cross-integration with other methods, and systematically reviewed the research status and development trends of the method. Their study is a reference and guide for subsequent theoretical research and practical applications. In general, the above two methods have their own characteristics but also have their own limitations and shortcomings. The method based on experimental simulation has the characteristics of positivism, but it needs an established system simulation model, which is often difficult to achieve for complex giant systems. The DEMATEL method is focused on the analysis of the correlation between various factors influencing complex systems and is used to find the operation law of the whole system.