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Research on the approach of dynamically maintenance of approximations in rough set theory while attribute values coarsening and refining

机译:粗糙集理论中近似的动态维护方法研究

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In rough set theory (RST), upper and lower approximations of a concept will change dynamically while the information system varies over time. How to update approximations based on the original approximations' information is an important problem since it may improve the efficiency of knowledge discovery. This paper focuses on the approach for dynamically updating approximations when attribute values coarsening or refining. The definitions of attribute values coarsening and refining in information systems are introduced. The properties for dynamic maintenance of upper and lower approximations while attribute values coarsen and refine are presented. Finally, the principle of coarsening or refining of the multi-granularity attribute values is analyzed.
机译:在粗糙集理论(RST)中,概念的上近似和较低近似值将动态地改变,而信息系统随时间变化而变化。如何基于原始近似的信息更新近似值是一个重要问题,因为它可能提高知识发现的效率。本文重点介绍了当属性值粗化或精炼时动态更新近似的方法。介绍了信息系统中粗化和精制的属性值的定义。呈现了上层和较低近似的动态维护的性质,而呈现属性值粗化和精炼。最后,分析了多粒度属性值的粗化或精炼原理。

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