摘要
案例推理(Case-Based Reasoning,简称CBR)是一种基于经验知识进行推理的人工智能方法,是对人类认知过程的一种模拟。本文在传统欧氏距离算法的基础上结合了模糊数学的计算方法,提高了推理的效率,克服了传统的只能对确定性指标进行搜索的缺陷。
Case--Based Reasoning is a kind of artificial intelligent design method of reasoning the experi encial knowledge, and it is also a kind of imitation of human cognitive process. Based on traditional Eu clidean Distance Transform, this paper combines computing method of fuzzy mathematics, raises the efficiency of reasoning, and overcomes traditional defect of only searching deterministic index.
出处
《滁州学院学报》
2012年第5期14-16,共3页
Journal of Chuzhou University
关键词
案例推理
检索
相似度
case reasoning
retrieval
similarity
