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在一些复杂系统中，专家系统是作为决策环节，服从于整个系统的运行，因而研究专家系统的推理时间就有其必要性．专家系统的推理时间与其推理模式、知识库结构、计算机性能以及其支持语言等若干因素有关．针对知识库结构，研究了自然排列知识库专家系统的推理时间问题，利用时间齐次马尔柯夫链为专家系统的知识库进行建模，并给出了相应的时间估计数学模型及计算量的确定问题，为复杂系统控制及实时仿真提供理论依据
In some complex systems, expert system is a decision-making process, subject to the operation of the entire system, so it is necessary to study the reasoning time of expert system. The reasoning time of an expert system is related to several factors such as its reasoning pattern, knowledge base structure, computer performance, and its supporting language. According to the structure of knowledge base, the reasoning time problem of natural permutation knowledge base expert system is studied. The time homogeneous Markov chain is used as the knowledge base of expert system. The corresponding mathematical model of time estimation and the problem of determining the amount of calculation are given. , Providing theoretical basis for complex system control and real-time simulation