Study on the Combination Weighting Method of Hybrid Multiple Attribute Decision-Making

摘要：

Because attribute weights may affect the ranking results of alternatives, one important problem in hybrid multiple attribute decision-making is to determine attribute weights of different types of data.To obtain the mixed entropy weight, we define the entropy values of precise number, interval number and fuzzy number.Then we get the grey relational weight based on ideal solution.Next we combine two weights above by using the relative entropy model.The combined weight not only reflects the difference of attribute values, but also reflects the closeness to the ideal solution.Finally, an example is proposed to prove that the new method is rational and effective.

关键词： hybrid multiple attribute decision-making mixed entropy weight grey relational degree relative entropy

作者: Xuan Li Xinping Xiao

作者单位: College of Science Wuhan University of Technology Wuhan,China

会议类型: 国际会议

会议名称: 2011 IEEE International Conference on Grey System and Intelligent Services Joint with the 15th WOSC International Congress on Cybernetics and System(2011 IEEE灰色系统与智能服务国际会议暨系统与控制世界组织第15届年会)

会议地点: 南京

会议语种:英文

页码: 568-572

在线出版日期: 2011-09-15（万方平台首次上网日期，不代表论文的发表时间）