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基于数据挖掘的地图质量集对分析模型
引用本文:汪明武,金菊良,李丽.基于数据挖掘的地图质量集对分析模型[J].地理科学,2008,28(5):688-692.
作者姓名:汪明武  金菊良  李丽
作者单位:1. 合肥工业大学土木建筑工程学院, 安徽 合肥 230009;2. 合肥工业大学资源与环境工程学院, 安徽 合肥 230009
基金项目:国家自然科学基金项目(50579009,40702049);;安徽省优秀青年科技基金项目(08040106830)资助
摘    要:应用模糊联系度的概念,以探讨对差异度系数进行数据挖掘的改进集对分析方法,实现对不确定性数据信息的数据挖掘和深入分析,提高评价结果的准确性和可靠性。结合实例验证构建模型的正确性和有效性,并与模糊数学方法及专家评价方法的结果进行对比分析,结果表明应用基于数据挖掘的集对分析方法评价地图质量是有效可行的,且操作过程简单。

关 键 词:地图质量  集对分析  差异度系数  模糊联系度  数据挖掘
收稿时间:2007-09-13
修稿时间:2008-01-14

Set Pair Analysis Model Based on Data Mining for Evaluation of Map Quality
WANG Ming-Wu,JIN Ju-Liang,LI Li.Set Pair Analysis Model Based on Data Mining for Evaluation of Map Quality[J].Scientia Geographica Sinica,2008,28(5):688-692.
Authors:WANG Ming-Wu  JIN Ju-Liang  LI Li
Institution:1. School of Civil Engineering, Hefei University of Technology, Hefei, Anhui 230009;2. School of Resources and Environmental Engineering, Hefei University of Technology, Hefei, Anhui 230009
Abstract:The evaluation of map quality is prime importance for the improvement of map design and application.To overcome and avoid the problems of weight determination and large sample size of mining information in the traditional evaluated methods,a novel method using the theory of set pair analysis(SPA) based on data mining are proposed to evaluate the map quality in this paper.The certainty and uncertainty of objective problems are treated as uncertain systems during the process of SPA,and the uncertainties are d...
Keywords:map quality  set pair analysis  discrepancy coefficient  fuzzy degree of connection  data mining  
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