Our study presents a new framework that incorporates the Analytic Hierarchy Process (AHP) and Generative Pre-trained Transformer 4 (GPT-4) large language model (LLM), bringing novel approaches to cybersecurity Multiple-criteria Decision Making (MCDA). By utilizing the capabilities of GPT-4 autonomous agents as virtual experts, we automate the decision-making process, enhancing both efficiency and reliability. This new approach focuses on leveraging LLMs for sophisticated decision analysis, highlighting the synergy between traditional decision-making models and cutting-edge AI technologies. Our innovative methodology demonstrates significant advancements in using AI-driven agents for complex decision-making scenarios, highlighting the importance of AI in strategic cybersecurity applications. The findings reveal the transformative potential of combining AHP and LLMs, establishing a new paradigm for intelligent decision support systems in cybersecurity and beyond.

翻译：本研究提出了一种新框架，融合了层次分析法（AHP）与生成式预训练Transformer 4（GPT-4）大型语言模型（LLM），为网络安全多准则决策分析（MCDA）带来了创新方法。通过利用GPT-4自主智能体作为虚拟专家的能力，我们实现了决策过程的自动化，提高了效率与可靠性。这一新方法聚焦于运用LLM进行复杂决策分析，凸显了传统决策模型与前沿AI技术之间的协同效应。我们的创新方法论展示了在利用AI驱动智能体处理复杂决策场景方面取得的显著进展，强调了AI在战略网络安全应用中的重要性。研究结果揭示了AHP与LLM相结合的变革潜力，为网络安全及其他领域建立智能决策支持系统的新范式奠定了基础。