To solve this problem, an effective hereditary heuristic algorithm is developed in this paper.

为求解此类问题，提出了一种有效的遗传启发算法。

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The paper offer a new heuristic attribute reduction algorithm based on conditional granularity entropy, though running an example, we show that this algorithm is effective.

提出了一种基于条件粒度熵的属性约简的启发式算法，通过例子分析，表明该算法是有效的。

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The concept of relatively prior weight is defined, and a heuristic algorithm is given out. The results of computer simulation show that the algorithm is effective.

定义了相对优先权概念，并给出了一个在此基础之上的启发式调度算法，算例表明该算法是可行的。

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