Study on the Multi-attribute Decision Model of Grey Target Based on Interval Numbers

摘要：

There exists uncertain in almost problems of our practices and the uncertain hold back decision-maker cannot accurately define indices values when they evaluate the system. For this problem, present decision-maker often defines an interval number to denote this index value, but none has studied the interval number decision model in grey target decision. In this paper, the distance of the interval number, m dimension interval number and their characteristics are defined firstly, and the distance of interval number generalizes the distance of real number is proved, then, the method to normalize the interval number is developed. Based on the above, the multi-attribute decision model of grey target based on interval number is derived, which extends the grey target decision model from real number sequence to interval number sequence and riches the grey theories in grey target decision. Last, the validity and practicability are illustrated with an example.

作者: Yaoguo Dang Sifeng Liu Jie Song

作者单位: Nanjing University of Aeronautics and Astronautics, 29＃, Yudao Street, Nanjing City, Jiangsu Provinc Nanjing University of Aeronautics and Astronautics

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）