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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
【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。
【Abstract】 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】 基于实例的推理;
实例检索;
相似性;
包含度;
【Key words】 case-based reasoning; case retrieval; similarity; including degree;
【Key words】 case-based reasoning; case retrieval; similarity; including degree;
【基金】 国家863高科技项目基金!863-306-04-03-1B
- 【文献出处】 计算机工程与设计 ,Computer Engineering and Design , 编辑部邮箱 ,1999年06期
- 【分类号】TP18
- 【被引频次】4
- 【下载频次】105