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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。
Aiming at the fuzzy information in the case retrieval process, this paper proposes a concept of degree of inclusion, which defines different degrees of fuzzy inclusion for different types of fuzzy semantic relations and thus describes the similarity between fuzzy attributes in case retrieval so as to effectively Improve performance of instance-based reasoning systems.