节点文献
一种基于褶集的模糊区域可视化模型
Visualization Model of Fuzzy Region Based on Flou Set
【摘要】 空间数据的模糊性建模是地理信息系统(GIS)和空间数据库领域的一个重要研究问题。在很多地理实际应用中,模糊空间区域没有分明的边界,如何建模并有效表达空间模糊区域具有重要的研究价值。提出了一种基于褶集的模糊区域模型,详细分析了模糊区域的性质,给出了点对于模糊区域的相对隶属程度的计算方法,并且在模糊区域绝对隶属度计算的基础上给出了一种模糊区域的可视化模型。实例结果表明该模型具有实用性和有效性,在地理信息系统和空间分析等领域具有其实际应用价值。
【Abstract】 Fuzziness modeling for spatial data is currently an important problem in geographic information systems and spatial databases. In many geographical applications, spatial regions do not always have sharply defined boundaries but frequently their interiors and boundaries are fuzzy. A fuzzy spatial region model was proposed based on flou set and the property of fuzzy regions was analyzed. The calculation method of relative membership of point in fuzzy region was given, and visualization model based on absolute membership value was proposed. The practical case shows that the model based on flou set is valuable in the fields such as GIS, geography and spatial database.
- 【文献出处】 系统仿真学报 ,Journal of System Simulation , 编辑部邮箱 ,2006年S1期
- 【分类号】TP391.41
- 【被引频次】5
- 【下载频次】77