这样做主要是为了方便观察者，因为规则引擎优化算法足够强大，能够优化规则匹配。

Doing so is mostly for human observers, as rule-engine optimization algorithms are sufficiently powerful to optimize rule matching.

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终止规则在优化算法中起着十分重要的作用。

Stopping rule plays a very important role in optimal algorithm.

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提出了一种二层学习算法来优化模糊规则基。

This paper proposes a hierarchical learning algorithm for optimizing fuzzy rule bases.

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