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.

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用传统的经验函数估算软件成本有很多局限性，采用基于范例库推理的估算方法可以很好地弥补其中的问题。

Software cost estimate with the traditional experience function has the shortcoming, and applying CBR estimate method can make up these problems.

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我们采用了数据挖掘的技术来处理范例获取的问题，从存储于农业气象数据库中的信息发现范例，以形成范例库。

We use data mining technique to tackle this case acquisition problem and discover cases from agriculture weather databases to establish case base.

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