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金属矿山 ›› 2010, Vol. 39 ›› Issue (06): 40-43+68.

• 采矿工程 • 上一篇    下一篇

基于粗糙集的地测数据预测模型研究

 王小完, 陈红玲, 骆正山, 黄汝杰   

  1. 西安建筑科技大学
  • 出版日期:2010-06-15 发布日期:2010-11-09
  • 基金资助:

    陕西省自然科学基金项目(编号:2009JM8009),西安建筑科技大学人才科技基金项目。

Study on the Geological and Surveying Data Prediction Model Based on Rough Set

Wang Xiaowan,Chen Hongling,Luo Zhengshan,Huang Rujie   

  1. Xi'an University of Architecture & Technology
  • Online:2010-06-15 Published:2010-11-09

摘要: 地测系统涉及因素极其繁杂,数据属性多且量大。数据不可避免地存在缺陷,影响后续的设计、生产和管理。运用粗糙集理论,通过对地测数据的分析,建立模型,从中发现不确定性的知识和异常数据,排除知识发现过程中的噪声干扰等。用粗糙集方法进行地测数据挖掘,发现潜藏于地测数据中的知识,为矿山生产与管理作预测分析和决策支持更具有实际意义。

关键词: 地测系统, 粗糙集, 数据挖掘, 决策

Abstract: The geological and surveying system involves extremely complicated factors,where there are a great deal of data properties.Therefore,deficiencies inevitably exist in the data,which affect the subsequent design,production and management.Based on the rough set theory,and by analyzing the geological and surveying data,a model was built,from where the uncertain knowledge and abnormal data were discovered,and the noise interference was eliminated during the knowledge discovery process,the rough set was used to get the geological and surveying data to find out the hidden knowledge from the testing data,which plays a practical role in predictive analysis and decision-making support for the mine production and management.

Key words: Geological and surveying system, Rough set, Data mining, Decision-making