Volume 34 Issue 11
Nov.  2009
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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.
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An Improved Voronoi Diagram Model Based on Fuzzy Theory

  • 1State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,129 Luoyu Road,Wuhan 430079,China;2School of Remote Sensing and Information Engineering,Wuhan University,129 Luoyu Road,Wuhan 430079,China

Funds: 国家973计划资助项目(2004CB318206)；国家自然科学基金资助项目(40801165)；武汉大学测绘遥感信息工程国家重点实验室专项科研经费资助项目
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  • Received Date: September 17, 2009
  • Revised Date: September 17, 2009
  • Published Date: November 04, 2009
    Graphical Abstract
    • 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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