摘要
S-概率粗糙集和优势关系粗糙集都是粗糙集理论的重要扩充,但均有局限性。结合上述两种模型的优点,提出了一种双向S-优势概率粗集模型,新模型既考虑了系统的动态统计特性又考虑到实际偏好信息的有效处理,模型具有一定的抗噪声能力,同时又具备较高的分类准确性和分类合理性,非常适合处理含有偏好信息的动态多属性决策问题。
S-probability rough sets and dominance-based rough sets are both important extensions of rough set theory.However,they both have their own limitations.Based on the advantages of the above two models,a two-direction singular dominance-based probability rough set model is proposed.The new model not only considers the dynamic statistical characteristics of the system but also takes into account the effective processing of actual preference information system.The model has certain ability to resist noise interference.At the same time,it has higher classification accuracy and classification plausibility,which is suitable for dealing with dynamic multiattribute decision-making problems with preference information.
作者
陶志
王丹
TAO Zhi;WANG Dan(College of Science,CAUC,Tianjin 300300,China)
出处
《中国民航大学学报》
CAS
2019年第5期60-64,共5页
Journal of Civil Aviation University of China
基金
国家自然科学基金项目(60672178)
中国民航大学科研基金项目(2010kys01)
关键词
优势关系粗糙集
S-优势概率粗集
概率近似精度
容错能力
dominance-based rough set
S-dominance-based probability rough set
probability approximation accuracy
fault tolerance
