ATTRIBUTE REDUCTION AND APPLICATION OF PROBABILITY ROUGH SET BASED ON INFORMATION ENTROPY

摘要：

The model of probability rough set can take full advantage of the border regions of similar statistical information, and given the concept of a more complete portrait, then we can extract with an uncertainty factor of the decision-making rules.The attribute reduction algorithm based on information entropy is applied to the probability of rough set model by the author.This model will be applied to the classification of meteorological information and obtained good results.

关键词： Probability Rough Set Information Entropy Attribute Reduction

作者: Hua Wang Bingxiang Liu

作者单位: Information engineering Institute,Jingdezhen Ceramic Institute,Jingdezhen 333403,E R.China

会议类型: 国际会议

会议名称: 2009 International Symposium on Computer Science and Technology(2009 中国宁波国际计算机科学与技术学术大会)

会议地点: 宁波

会议语种:英文

页码: 223-225

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）