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属性约简是粗糙集合研究的重要内容之一。为了能够有效地获取决策表中属性最小相对约简,提出一种基于遗传算法的属性约简算法。依据条件属性的重要度,把条件属性加入到相对核属性集中,将相对核加入遗传算法的初始种群中以加快算法收敛。并应用该算法对水上事故模型预测进行分析,做出推理和决策。
Attribute reduction is one of the most important parts of rough set research. In order to obtain the minimum relative reduction of attribute in decision table effectively, an attribute reduction algorithm based on genetic algorithm is proposed. According to the importance of conditional attributes, the conditional attributes are added to the relative kernel attribute set, and the relative kernels are added to the initial population of genetic algorithm to accelerate the convergence of the algorithm. The algorithm is applied to predict the model of marine accident and make reasoning and decision.