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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.
By combining rough set theory and gray system theory, the concept of similarity between λ-gray and the rough set model based on λ-gray similarity is established, and a method for index selection using attribute reduction of λ-gray similarity relation is proposed. This method is suitable for index selection of unknown information as gray information.Examples demonstrate the effectiveness of the method.