The Minimum Wage Evaluation Model based on Multi-level Fuzzy Comprehensive Evaluation

摘要：

In this paper, it is found that the affects weights of education, work experience, personal skills and industry to the minimum wage are separately 26％, 27％. 27％,20％ respectively, which is obtained from the multi-level fuzzy comprehensive evaluation model while the city of Ningbo is taken as example. The results show that the unemployed people work experience and personal skills are required from the employers more than the other two factors, which are in line with the actual situation, verifying the feasibility and effectiveness of the model.

关键词： multi-level fuzzy comprehensive evaluation the minimum wage unemployed persons expert scoring

作者: Li Xiao Zhou Shengwu

作者单位: College of Mathematics, Sichuan University, Chengdu, China, 610003 College of Science, China University of Mining and Technology, Xuzhou, China, 221116

会议类型: 国际会议

会议名称: 2010 International Conference on Probability and Statistics of the International Institute for General Systems Studies(国际一般系统理论研究会中国概率统计学会第二届学术会议IIGSS-CPS2010)

会议地点: 南京

会议语种:英文

页码: 256-259

在线出版日期: 2010-07-29（万方平台首次上网日期，不代表论文的发表时间）