MGRS in Incomplete Information Systems

Y. Qian, Jiye Liang, C. Dang
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引用次数: 39

Abstract

The original rough set model is concerned primarily with the approximation of sets described by single binary relation on the universe. In the view of granular computing, classical rough set theory is researched by single granulation. The article extends the rough set model based on tolerance relation to incomplete rough set model based on multi-granulations, where the set approximations are defined by using multi tolerance relations on the universe. Its some basic mathematical properties are investigated as well. It is shown that some properties of rough set model based on tolerance relation are special instances of this new model, the approximation measure of a target concept described by using multi-granulations is always better than by using single granulation, which is suitable for describing more accurately the concept and solving problem according to user requirement in incomplete information systems.
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不完全信息系统中的MGRS
原始的粗糙集模型主要关注宇宙上由单一二元关系描述的集合的逼近。从颗粒计算的角度出发,对经典粗糙集理论进行了单粒化研究。本文将基于容差关系的粗糙集模型扩展为基于多粒的不完全粗糙集模型,其中集合近似是利用全域上的多容差关系来定义的。研究了它的一些基本数学性质。结果表明,基于容差关系的粗糙集模型的一些特性是该模型的特殊实例,多粒化描述的目标概念的近似度量总是优于单粒化描述的目标概念,适用于不完全信息系统中更准确地描述概念和根据用户需求解决问题。
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