Volume 36 Issue 5
May  2011
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LI Wenjing, QIU Jia, LUE Lei. An Improvement Selection Method of GIS Information Generalization Based on Rough Set[J]. Geomatics and Information Science of Wuhan University, 2011, 36(5): 588-592.
Citation: LI Wenjing, QIU Jia, LUE Lei. An Improvement Selection Method of GIS Information Generalization Based on Rough Set[J]. Geomatics and Information Science of Wuhan University, 2011, 36(5): 588-592.
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An Improvement Selection Method of GIS Information Generalization Based on Rough Set

  • 1 School of Resources and Environmental Engineering,Wuhan University of Science and Technology,947 Heping Road,Wuhan 430081,China

Funds: 国家自然科学基金资助项目(40701158,40671154)；湖北省教育厅科学技术研究计划资助项目(Q20081109)
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  • Received Date: March 14, 2011
  • Published Date: May 04, 2011
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    • Abstract
  • On the basis of the existing GIS information generalization method based on rough set,a computing idea is put forward in view of the particularity of GIS information table.Firstly,we discretize the continuous attributes by unsupervised discretization.Secondly,we add the decision attribute according to the value of conditional attributes.Thirdly,we calculate the importance of conditional attributes by attribute reduction of rough set.Lastly,we generalize the objects by dynamic assessment.The experimental results show that the procedure can solve the discretization efficiency problem of GIS information table;and generalize objects by dynamic assessment not only take into account the spatial information as well as the attribute information of objects,but also keep the main spatial feature of the objects after generalization.
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