关键词: 格值信息系统, 知识分辨度, 信息熵, 知识颗粒

Abstract: In dealing with practical issues, it is generally possible to obtain accurate understanding through the refinement of knowledge particles. On the contrary, the problem can be simplified by coarse knowledge particles. This paper introduces the concepts of knowledge resolution and information entropy to study the resolution ability of knowledge in lattice-valued information systems. By some properties, it can be proved that both of them gradually become lager with the refinement of knowledge particles, smaller with the coarsening of knowledge particles. An instance result shows that the knowledge resolution and information entropy are greater, the ability of knowledge resolution is stronger. Furthermore, the relationship between knowledge resolution and information entropy, which can be used to reflect the particles of knowledge and the degree of classification in lattice-valued information systems, states that they are the same. In addition, the influence of knowledge particles on knowledge is reflected from the side. These conclusions provide theoretical basis for the knowledge discovery of lattice-valued information systems.

Key words: lattice-valued information system, knowledge resolution, information entropy, knowledge particles