Realization the the imprecise reasoning model based on the Fuzzy reasoning technology and the Certain factors method.
基于模糊推理技术和基于可信度方法实现非精确推理模型的设计。
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。
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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