Minimum Deviation Method Based Preference Information on Alternatives for Grey Incidence Decision-making

摘要：

The grey multiple attribute decision-making problem with preference information on alternatives is discussed in this paper, in which the attribute values are interval grey numbers and the attribute weights unknown, and the algorithms for this grey decision-making is presented. According to essentials of interval grey number, definition of deviation degree between two interval grey numbers is given, and an incidence degree coefficient formula and relative incidence degree coefficient formula based on deviation degree for interval grey numbers are constructed by using analytical technique. For the attribute weights unknown, this paper introduces the optical model of minimum deviation method based on deviation between objective preference and subjective for making the attribute weights. The method can sufficiently utilize objective information , and meet decision-maker’s subjective requirement, and can be easily performed on computer. An example shows the rationality of grey incidence decision-making and the validity of the algorithms mentioned above.

作者: Xiao-xin Chen Si-feng Liu

作者单位: School of Information Technology, Jiangxi University of Finance and Economics, Nanchang 330013, Chin College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 210

会议类型: 国际会议

会议名称: 2007年IEEE灰色系统与智能服务国际会议(2007 IEEE International Conference on Grey Systems and Intelligent Services)

会议地点: 南京

会议语种:英文

在线出版日期: 2007-11-18（万方平台首次上网日期，不代表论文的发表时间）