The Application of Minimal Reduction Based on GA to Weather Data

摘要：

In the paper a method of minimal reduction based on GA, the joint-dilation matrix and discernible matrix is proposed, and it has been applied to the weather data successfully. It reduces the algorithms complexity of gaining the attributes reduction greatly and has been proved feasible and effective by lots of examples. At last the paper gives the results of the experiment and has a discussion on the advantages and disadvantages of the method.

关键词： rough set minimal reduction knowledge expression system of weather data genetic algorithm Joint-dilation matrix

作者: ZHOU Yancong SUN Xiaochen

作者单位: School of Information Engineering, Tianjin University of Commerce.Tianjin,300134 School of Information Technological Science, Nankai University,Tianjin,300071

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）