【摘要】 知识约简是粗糙集理论中获取决策规则的重要方式。结合知识约简的概念和定义,介绍了Semi-Naive-Scaler属性离散化算法,给出了基于可辨识矩阵的属性约简算法,并采用了基于可辨识矩阵的二值化数据过滤和贪心算法相结合的规则约简算法。通过属性约简和规则约简,得出决策规则。最后在输电线路运行风险评估方面给出了应用算例。更多还原

【Abstract】 Knowledge reducing is an important way to obtain decision rules in rough sets theory.Combining the concepts and definitions of knowledge reducing,it introduces the attribute discretization algorithm of the Semi-Naive-Scaler,gives attributes reducing algorithm based on discernibility matrix,and also adopts the rules reducing algorithm combining with binarization data filtration based on discernibility matrix and greedy algorithm.Through attribute reduction and rule reduction,it obtains decision rules.Finally,an application example in risk assessment of transmission lines running is given.更多还原