【摘要】 针对连续属性离散化过程中由于区间分割不当所造成的病态问题,提出一种最优离散化方法.将离散化中的分割点划分问题转化为一个指标寻优问题,采用人工鱼群算法进行优化求解.通过引入虚拟分割点,利用鱼群算法的聚群行为对离散区间实现有效合并.实例分析结果表明,用人工鱼群算法寻优得到的离散区间数目较少,最后得到的决策规则更为精简并具有较强的数据抗干扰能力.更多还原

【Abstract】 A new method of optimal discretization is proposed in order to solve the ill-conditioned problem caused by inefficient discretization approaches.The artificial fish-swarm algorithm is used to optimize the objective function converted by the problem of dividing the segmental points.The virtual segmental points are introduced to effectively combine the discrete intervals based on the swarm deed of fish-swarm algorithm.The case analysis shows that the number of the discrete intervals is small.Furthermore,the decision rules derived from the proposed method are simple and with fine robustness.更多还原