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在抗震结构设计中,设防水平(设防烈度)的确定是一个具有重要意义的决策问题,而过去却只是根据不完整的少量信息,凭借设计决策人的主观意志来决定的,本专家系统在领域知识方面综合利用模糊决策论和优化技术的概念提出了系统的决策方法,全面考虑了影响设计效果的各种因素,有效地模拟了专家们在解决实际问题时的思考过程和分析过程,从而为抗震结构的概念设计阶段提供了切实可行的科学依据。在知识工程方面,针对领域问题的特点,提出了将知识分解为目标级和元级知识的合理结构,并采用框架做为各级知识的表示手段。在知识获取上。本系统采用了分级获取的方式,并能通过机器学习改善知识库的完备性。推理机采用反向控制策略,并通过预制文本和执行追踪法对推理过程予以解释,使系统具有良好的透明性。
In the seismic structure design, the determination of the fortification level (fortification intensity) is an important decision problem. However, in the past it was only based on incomplete information and decided by the subjective will of design decision makers. The expert system is in the field. The comprehensive use of the concept of fuzzy decision theory and optimization technology in the knowledge aspect proposes a systematic decision-making method that fully considers various factors affecting the design effect and effectively simulates the thinking process and analysis process when the experts solve practical problems. The conceptual design phase of the seismic structure provides a practical scientific basis. In the aspect of knowledge engineering, the paper proposes a reasonable structure that breaks knowledge into target-level and meta-level knowledge based on the characteristics of domain problems, and uses the framework as a means of expressing knowledge at all levels. In knowledge acquisition. The system adopts a hierarchical acquisition method and can improve the completeness of the knowledge base through machine learning. The inference engine adopts an inverse control strategy, and explains the inference process through prefabricated text and execution tracking methods, so that the system has good transparency.