邵振峰, 闫贝贝, 周杨. 基于模糊思想的改进Voronoi图模型[J]. 武汉大学学报 ( 信息科学版), 2009, 34(11): 1381-1385.
引用本文: 邵振峰, 闫贝贝, 周杨. 基于模糊思想的改进Voronoi图模型[J]. 武汉大学学报 ( 信息科学版), 2009, 34(11): 1381-1385.
SHAO Zhenfeng, YAN Beibei, ZHOU Yang. An Improved Voronoi Diagram Model Based on Fuzzy Theory[J]. Geomatics and Information Science of Wuhan University, 2009, 34(11): 1381-1385.
Citation: SHAO Zhenfeng, YAN Beibei, ZHOU Yang. An Improved Voronoi Diagram Model Based on Fuzzy Theory[J]. Geomatics and Information Science of Wuhan University, 2009, 34(11): 1381-1385.

基于模糊思想的改进Voronoi图模型

An Improved Voronoi Diagram Model Based on Fuzzy Theory

  • 摘要: 针对传统Voronoi图模型在空间划分时考虑因素单一、依赖欧氏距离等问题,提出了一种基于模糊理论的改进Voronoi图模型。将带模糊边界的Voronoi图模型应用到武汉市消防调度系统的模拟突发事件处理中,结果表明,相比传统的Voronoi图模型,能够提高空间划分精度,将应急调度的准确度提高20%以上。

     

    Abstract: Traditional Voronoi diagrams considers few factors in spatial division and only depends on Euclidean distance. An improved Voronoi diagram model based on fuzzy interval theory is proposed. The validity and performance of our improved Voronoi diagram was demonstrated through a typical application in emergency response system of fire dispatch system of Wuhan city,in which the actual path distance is acted as influential factor. Experimental results show that the improved Voronoi diagram is able to improve the precision of spatial division and emergency response efficiency by 20%.

     

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