应用粗糙隶属度确定大坝效应量分量比例

为了评价各因素对大坝监测效应量的综合影响程度,研究了确定大坝监测效应量各分量比例的粗糙集方法.首先对原始监测信息进行数据离散化得到决策表,然后对决策表进行属性约简以去除影响极小的影响因素,最后用粗糙隶属度分析各主要因素的重要性指标及其在效应量中所占的分量比例.该方法能提取隐藏在数据中的潜在信息,而不需要预先给定数学模型和相关参数,有利于保证分析的客观性.实例分析表明,该方法简捷实用,可定量分析影响因素对效应量的影响程度.

Application of Rough Membership for Determining Component Proportion of Dam Effect-Quantity

The rough set method is studied in this paper in order to evaluate the behaviors of a dam and the comprehensive influence of affecting factors on the effect-quantity . Firstly, the original monitoring data are discretized to a decision making table, then the attributions are reduced from the decision making table so as to eliminate the factors having no or less effect on the effect-quantity, and, lastly , the proportion of affecting factors on the effect-quantity is calculated with rough membership. This proposed method can extract the hiding laws from monitoring data, and it does not demand mathematical model and corresponding parameters. A case illustrates that this method is simple in practice and successful in determining the component proportion of effect quantity.