行洪区航拍数据可视化的粗糙集理论挖掘方法  

Rough Set Theory Mining Method for Aerial Photography Data Visualization in Flood Passage Area

作　　者：张显 胡毅 吴永琦 ZHANG Xian;HU Yi;WU Yong-qi(Guizhou Qianyuan Power Co.,Ltd.,Guiyang 550002 China)

机构地区：[1]贵州黔源电力股份有限公司,贵州贵阳550002

出　　处：《自动化技术与应用》2023年第5期103-107,共5页Techniques of Automation and Applications

摘　　要：为了解行洪区航拍数据的实际分布情况,严格把控数据信息指标趋势,提出行洪区航拍数据可视化的粗糙集理论挖掘方法。通过定义行洪区航拍数据的方式,确定粗糙集理论中的各项基本概念,完成基于粗糙集理论的行洪区航拍数据可视化权重计算。结合粗糙集理论框架,利用层级式挖掘结构,实现行洪区航拍数据可视化粗糙集理论挖掘方法的顺利应用。实验结果表明,与多目标决策型挖掘方法相比,粗糙集理论挖掘方法可同时整理的行洪区航拍数据总量较大,而单位时间内PUI指标的上升幅度相对更小,实现对行洪区航拍数据真实分布情况的有效掌握。In order to understand the actual distribution of aerial data in flood areas and strictly control the trend of data information indicators,a rough set theory mining method for visualization of aerial data in flood areas is proposed.By defining the way of aerial data of flood area,the basic concepts of rough set theory are determined,and the visual weight calculation of aerial data of flood area based on rough set theory is completed.Combined with the framework of rough set theory,the hierarchical mining structure is used to realize the smooth application of rough set theory mining method in flood area aerial data visualization.The experimental results show that compared with multi-objective decision-making mining method,rough set theory mining method can simultaneously sort out the total amount of aerial data of flood area,but the rising range of Pui index in unit time is relatively small,which can effectively grasp the real distribution of aerial data in flood area.

关 键 词：航拍数据 粗糙集理论 挖掘方法 聚类挖掘 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]