Hiberarchy Attribute Reduction Algorithm Used to Estimate the Importance of the Factors Related to Air Pollution Degree
Air pollution has become a serious problem of global. A large amount of data related to air pollution is produced every year at the same time. Rough Set theory is an effective mathematical tool to deal with uncertain data. This article introduces an algorithm of Hiberarchy Attribute Reduction of Rough Set This algorithm can find out the most important attributes that can be used to estimate the air pollution degree. Because the domain will gradually decrease, the calculation amount of this algorithm is small. The conclusion generated in thb paper can be used as the guidance to control or judge air pollution.
Air Pollution Rough Set Hiberarchy Attribute Reduction Composite Index Transportation Quantity
Weixiao Gao Junfei Gai
Information & Technology College Hebei University of Economics & Business Shijiazhuang China
国际会议
秦皇岛
英文
1-4
2010-11-05（万方平台首次上网日期，不代表论文的发表时间）