Research on Standard of Lowest Wage of Shanghai with RS and NN

摘要：

Based on rough set (RS) theory, the paper puts forward a new approach to analyze and establish a limit of the lowest wage of Shanghai.The approach improves modeling of Neural Network (NN) by reducing redundant data in the model and retaining attributes with higher values. It speeds up the simulation of real scenarios and provides more precise data for government to make wise decisions for setting up the limit.

关键词： Rough Set Neural Networks limit of lowest wage

作者: Hong WANG Zhong WU Xin-de CHEN

作者单位: SUES Management Of School,Shanghai China 201620

会议类型: 国际会议

会议名称: 工业工程与系统管理2007年国际会议(International Conference on Industrial Engineering and Systems Management)(IESM 2007)

会议地点: 北京

会议语种:英文

在线出版日期: 2007-05-30（万方平台首次上网日期，不代表论文的发表时间）