Method for Evaluating the Multi-factor Decision-Making Efficiency Based on Dynamic Bayesian Network

This research focuses on the problem of evaluating the effectiveness of equipment decision-making in uncertain multi-factors where multiple factors affect the decision-making process. To address this issue, the study proposes a method for developing a dynamic Bayesian network-based equipment decision-making model and optimizing it. The study also aims to establish a model for evaluating the effectiveness of equipment decision-making based on a dynamic Bayesian network. The study has built a assessment system that simulates the capabilities of various equipment in penetrating through enemy firewalls. The system takes into account the effects of multiple factors such as equipment performance, environment and enemy defense capabilities. The study also analyzes the errors in the effectiveness evaluation model in typical scenarios to identify areas that need improvement.