范例推理作为基于规则推理技术的一个重要补充，已受到人工智能研究人员的普遍关注。

As an important supplementary technique to rule based reasoning, case based reasoning, has been emphasized by researchers in the artificial intelligence field.

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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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文中提出用问题归约策略与基于范例推理结合的方法解决这个问题。

In this paper, a method is proposed that combines the strategy of problem reduction with case-based reasoning to give necessary flexibility to TSP.

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