广义不完备序值系统中的优势关系粗糙集

摘要

为了使用优势关系粗糙集处理同时具有丢失型和遗漏型未知属性值的广义不完备序值系统,提出了特征优势关系的概念,并且在广义不完备序值决策系统中引入近似分布约简,提出了4种新的近似分布约简形式,为从复杂的不完备系统中获取规则提供了理论基础与操作手段.结果表明基于特征优势关系粗糙集模型能有效地处理具有2种未知属性值的广义不完备系统.%To deal with the generalized incomplete ordered information system in which both lost and "do not care" unknown values are coexisting by dominance-based rough set, the concept of characteristic dominance relation is proposed for classification analysis. Furthermore, the approximate distribution reduct is introduced into generalized incomplete ordered decision systems and then four new approximate distribution reducts are proposed. These results are meaningful both in the theory and in applications for rules' acquisition in complex incomplete systems. This research tells us that the characteristic dominance relation based rough set model is effective in dealing with the generalized incomplete system that contains two different types of unknown values.