摘要
针对医学诊断知识获取问题,提出了基于RoughSets理论的知识获取方法,利用该理论对数据进行分析,推理出可能规则,并提出了一种概率优化规则.通过实例分析,说明了该方法的实现步骤,包括连续信息系统的离散化、信息系统的约简、决策规则提取、决策模型生成等,讨论了知识处理的完整过程,能够有效地解决专家系统中知识获取的瓶颈问题.
Analyzes how to extract medical diagnosis rules from medical cases. Based on the rough set theory, a way to acquire knowledge was brought forward. Using this theory, the data was analyzed, possible rules was proposed, and an optimized probability formula was showed. By analyzing instances, the implement step of the way was explained, including discreting continuous information system, reducting information system, acquiring decision rules and generating decision model, and so on. At the end, the whole process of knowledge acquisition was discussed, and this option can effectively solve the choke point problem of acquiring knowledge of expert system. At the same time, it also provides new brainchild to solve the artificial intelligence technology＇s application to the field of medicinal diagnosing.
出处
《武汉理工大学学报（交通科学与工程版）》
2005年第4期530-533,共4页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
基金
国家自然科学基金项目(批准号:60373062)
湖南省杰出中青年专家科技项目(批准号:02JJYB012)
教育部重点科研基金项目(批准号:02A056)
湖南省卫生厅科技基金项目(批准号:2001-Y89)资助
