本文描述了一个利用人工智能专家系统技术对铁路边坡发生滑坡进行识别和分类的系统.该系统将铁路滑坡专家在滑坡识别及分类方面的经验、知识存储于知识库中,利用模糊推理过程替代传统的隶属函数表述因素之间关系的方法,完成对滑坡的识别和分类工作. This paper describes a system that uses artificial intelligence expert system technology to identify and classify landslides on railway slopes.The system stores the experience and knowledge of railway landslide experts in landslide identification and classification in a knowledge base and uses fuzzy reasoning to replace The traditional method of describing the relationship between subordinate functions and the membership functions can accomplish the identification and classification of landslides.