Volume 38 Issue 9
Sep.  2013
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XIA Yu, ZHU Xinyan. Intelligent Spatial Information Delivery Decision-Making by Using Interval Analysis[J]. Geomatics and Information Science of Wuhan University, 2013, 38(9): 1103-1107.
Citation: XIA Yu, ZHU Xinyan. Intelligent Spatial Information Delivery Decision-Making by Using Interval Analysis[J]. Geomatics and Information Science of Wuhan University, 2013, 38(9): 1103-1107.
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Intelligent Spatial Information Delivery Decision-Making by Using Interval Analysis

  • 1Key Laboratory of Poyang Lake Wetland and Watershed Research,Ministry of Education, Jiangxi Normal University,99 Ziyang Road,Nanchang 330022,China;2State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing, Wuhan University,129 Luoyu Road,Wuhan 430079,China;3School of Geography and Environment,Jiangxi Normal University,99 Ziyang Road,Nanchang 330022,China

Funds: 国家973计划资助项目(2012BAH35B03);江西省教育厅科技计划资助项目(GJJ12189);国家自然科学基金资助项目(41101369)
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  • Received Date: April 17, 2013
  • Revised Date: April 17, 2013
  • Published Date: September 04, 2013
    Graphical Abstract
    • Abstract
  • The classical TOPSIS methods have their limitations when they are applied to spatial information.First,they lack methods for an ideal solution for decision-making attributes in spatial information.Second,they do not provide the utility degree for decision-making attributes.To solve these two problems,TOPSIS is extended by introducing interval analysis,and hence the E-TOPSIS-based algorithm for delivery decision-making is proposed.Experiments indicate that the E-TOPSIS-based algorithm is quite competent with intelligent spatial information delivery decision-making.
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  • [1]
    柳林李德仁,李万武,杨博雄,. 从地球空间信息学的角度对智慧地球的若干思考[J]. 武汉大学学报(信息科学版). 2012(10)[2] 李德仁王艳军,邵振峰,. 新地理信息时代的信息化测绘[J]. 武汉大学学报(信息科学版). 2012(01)[3] 刘树林,. 多属性决策理论方法与应用研究[D]. 北京航空航天大学 1997[4] 徐玖平,吴巍编著,. 多属性决策的理论与方法[M]. 清华大学出版社, 2006[5] Peiyue LiJianhua Wu,Hui Qian,. Groundwater quality assessment based on rough sets attribute reduction and TOPSIS method in a semi-arid area, China[J] 2012,Environmental Monitoring and Assessment(8):4841～4854
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