【摘要】 仿真能否准确代表真实世界是用户十分关注的问题，仿真可信度评估通过对仿真正确性和有效性进行评估进而确保其可信度水平能够满足应用目标需求。随着仿真技术的深入应用及新仿真形态的出现，传统评估方法在专家依赖性、数据处理能力、评估效率等方面的不足凸显，基于此对仿真可信度智能评估的研究需求、研究现状、新方法、未来发展方向等进行分析总结。基于仿真可信度评估流程和问题分析可信度智能评估需求；总结智能技术的分类及其在可信度评估领域的应用，并给出4种仿真可信度智能评估新方法；提出仿真可信度智能评估的未来研究方向。更多还原

【Abstract】 The accuracy of simulations in representing real-world systems is a critical concern for users. Simulation credibility assessment ensures trustworthiness by evaluating the correctness and effectiveness of simulations to meet application requirements. As simulation technologies are widely adopted, and new simulation paradigms emerge, traditional assessment methods are increasingly showing limitations in their dependence on experts, data processing capabilities, and assessment efficiency. This paper systematically reviewed the research demands, current progress, new technologies, and future trends of intelligent simulation credibility assessment. Based on the simulation credibility assessment process and problem analysis, the requirements for intelligent credibility assessment were discussed. Intelligent technologies were classified, and their applications in credibility assessment were summarized, with four emerging intelligent assessment methods being presented. Potential research directions for intelligent simulation credibility assessment were proposed.更多还原