Grey Incidence Method of Decision-Making with Three-parameter Interval Numbers and Unknown Weights

摘要：

A new grey incidence method is proposed to address the uncertain multiple attribute decision making problem with three-parameter interval numbers and unknown weights.A distance function of threeparameter interval numbers is defined, base on which the grey incidence coefficient.Then the attributes weights are calculated according to the minimum deviation theory, and the degrees of grey incidence between optimal project and alternative projects are generated, and the ranking of alternatives is expressed by affiliate degree of every project.Finally, two numerical examples are used to demonstrate the proposed method including the superiority of distance function by example 1 and the validity and feasibility by example 2.

关键词： three-parameter interval numbers distance function attributes weights degrees of grey incidence affiliate degree

作者: Shuli Yan Sifeng Liu

作者单位: School of Mathematics and Statistics,Kenan University of Science and Technology,Luoyang,Henan,471003 College of Ecnomics and Management,Nanjing University of Aeronautics and Astronautics Nanjing,Jiangs

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: 589-592

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）