Besides, this article presents the hierarchical model for storage and retrieval of case, and analyzes the integrated reasoning mechanism and modification algorithm for case.
采用面向对象方法定义了实例的对象模型及实例存储、检索的层状结构模型，并对集成推理机制和实例的修改算法做了探讨。
Case based reasoning (CBR) is an effective method to solve DFA and Assembly Planning problems, while assemblies retrieval and indexing is a primary step to its application.
基于事例推理是解决DFA和装配工艺规划问题的有效方法，装配体检索是应用此方法的关键步骤。
This theory combined the excellence of current Question Answering System and is hoped to fulfill the mechanism of retrieval, understanding and reasoning based on pure text knowledge.
该理论综合了现有问答系统的优点，有望基于纯粹的文本知识，实现检索、理解、推理一体化的机制。
Traditional retrieval models of the case-based reasoning system lack of the adaptation to the imprecise information in uncertainty environment.
传统实例检索模型缺乏对不确定环境中不精确信息的适应性。
The model can carry out the ontology reasoning. And the experimental results show that information retrieval efficiency to a certain extent is improved.
实验结果表明，该模型能够进行本体的语义推理，在一定程度上增强信息检索系统的语义处理能力，检索效率得到了改善。
This study combined Fuzzy ISODATA clustering technology with CBR and realized the fuzzy imprecise matching reasoning in case retrieval, which emulates the reasoning of the expert experience.
本研究将模糊ISODATA聚类技术与CBR技术相结合，实现CBR在案例检索时的模糊不精确匹配推理，较好地仿真专家经验推理。
This study combined Fuzzy ISODATA clustering technology with CBR and realized the fuzzy imprecise matching reasoning in case retrieval, which emulates the reasoning of the expert experience.
本研究将模糊ISODATA聚类技术与CBR技术相结合，实现CBR在案例检索时的模糊不精确匹配推理，较好地仿真专家经验推理。
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