地理科学 ›› 2008, Vol. 28 ›› Issue (5): 688-692.doi: 10.13249/j.cnki.sgs.2008.05.688

• 论文 • 上一篇    下一篇

基于数据挖掘的地图质量集对分析模型

汪明武1, 金菊良1, 李丽2   

  1. 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
  • 收稿日期:2007-09-13 修回日期:2008-01-14 出版日期:2008-09-20 发布日期:2008-09-20
  • 作者简介:汪明武(1972- ),男,安徽歙县人,博士, 教授,主要从事智能岩土工程的教学和科研工作。E-mail:wmw_lily@163.com
  • 基金资助:
    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。

Set Pair Analysis Model Based on Data Mining for Evaluation of Map Quality

WANG Ming-Wu1, JIN Ju-Liang1, LI Li2   

  1. 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
  • Received:2007-09-13 Revised:2008-01-14 Online:2008-09-20 Published:2008-09-20

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。

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 described by the connecting degree.However, The evaluation of map quality not only need to calculate identical degree, different degree and contrary degree between the evaluated index sets of sample and grade standard sets, but also to mine useful information from the discrepancy coefficient of connecting degree.The approaching degree is introduced to describe the fuzzy connecting degree between the index values, which are located in the neighbor discussed grade, the discussed grade.Then find the maximum membership degree based on the general connecting degree of the sample.To quantify the evaluated result, and the characteristic values are also calculated.Moreover, to confirm the reliability and the versatility of this improved SPA method, the application to a practical example, and the comparisons of evaluated results with the fuzzy mathematic method and expert evaluated method were conducted.The results show that the proposed method used to assess map quality is feasible and effective, and easy to operate.And the method has no limit on specimen modeling.This presented model also has provided the new reference for the evaluation of other uncertainty problems.

中图分类号: 

  • K99/O159