基于λ-灰相似关系粗糙集模型的评价指标筛选方法研究

Study on Screening Method of Evaluation Index Based on λ-grey Similarity Relation Rough Set Model

将粗糙集理论和灰色系统理论结合起来,确立了λ-灰相似关系的概念与基于λ-灰相似关系粗糙集模型.提出了运用λ-灰相似关系粗糙集属性约简进行指标筛选的方法,这种方法适于待定指标为灰信息的指标筛选.实例证实了方法的有效性.

The combination of both the rough set theory and grey system theory, establishes λ-grey similarity relation concept and rough set model based on λ- grey similarity relation. A method for the selection of index is proposed, using the attribute reduction of λ- grey similarity relation rough set. This method is suitable for screening of undetermined index such as grey information index. An example confirms the validity of the method.