对于给定的目标范例，如何从范例库中检索和选择出最为相似的范例决定了范例推理系统的学习与推理性能。
As to target case given, how to check and choose the most similar case from case-base decides learning and reasoning functions of case-based reasoning system.
本文设计出了基于范例推理的个性化旅游推荐系统，并详细研究了系统中CBR关键技术的实现方案。
This paper design the recommendation of individual tourism plan system based on CBR and research the key technique and implement scheme of CBR.
五是本文分析认为基于范例推理（CBR）是解决旅游计划决策这样复杂的知识领域问题最适宜的方法，解决了该子系统中CBR关键技术的实现问题。
Fifthly, I think CBR is the most suitable method to solve the problem of tourism plan decision-making and solve the application problem of CBR in this system.
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