基于实例的模糊相似性度量模型研究  

Study of the model on case based fuzzy similarity measurement

作　　者：方明[1] 李天太[1] 薛中天[1] 杨军全[1] 

机构地区：[1]西安石油学院计算机系,710065

出　　处：《计算机工程与设计》1999年第6期7-9,共3页Computer Engineering and Design

基　　金：国家863高科技项目基金!863-306-04-03-1B

摘　　要：针对实例检索过程中的模糊信息，提出一个利用包含度概念，为不同类型的模糊语义关系定义了不同的模糊包含度，并由此描述了实例检索中模糊属性间的相似度，从而可以有效地提高基于实例推理系统的性能。According to the fuzzy information in case retrieval a model that uses including degree concept to define different fuzzy semantic including degree for different fuzzy semantic relation was proposed in the paper, and the similarity degree between fuzzy features was described by using the fuzzy semantic including degree. It can improve the performance of the case-based reasoning system.

关 键 词：实例检索 相似性 包含度 人工智能 CBR 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]