Project decision-making is crucial in the operation of projects. Therefore, the use of artificial intelligence technology to achieve optimal decision-making will have a positive impact on the project performance. Dongping CAO et al. evaluated the impact of BIM implementation on the performance of project participants. The data analysis results based on the partial least squares method show that information sharing and collaborative decision-making capabilities supported by BIM have improved the work efficiency of both designers and general contractors. Sang Hyun LEE proposed the application of system dynamics to the strategic decision-making process in construction as a supplement to discrete event simulation, and the results showed that the application of system dynamics to system structure could remarkably promote the strategic decision-making process and identify the system structure’s means of generating dynamic and complex behaviors over time. Jonathan Jingsheng SHI et al. believed that apart from supporting quantitative decision-making by integrating useful data from multiple sources, the use of data could enable technology to provide timely historical data and screen out operational knowledge from it. Donald KENNEDY et al. proposed that a contradiction should exist between machine intelligence and human intelligence in the decision-making process; hence, a knowledge system is needed to provide reasonable guidance for human–computer interaction decision-making.