STUDY ON MULTI-ATTRIBUTE DECISION MAKING METHOD BASED ON TOPSIS AND GREY RELATION ANALYSIS

摘要：

In practice, multi-attribute evaluation has to be considered to obtain a reliable decision. But it’s difficult to ensure the result’s reliability by traditional method because of its shortages. Therefore, this study presents a new multi-attribute decision-making method based on TOPSIS and grey relation analysis. We give the concept of combinational weight to determine the decision making attributes weights and define weighted Euclidean dis tance and weighted grey correlation degree to measure the similarity of location and shape among the selected alternative, the ideal alternative and negative ideal alternative, respectively. And then, a new relative similar ity degree is established to achieve comprehensive evaluation among alternatives. Through a case of gasbuild ing alternatives selection, we illustrate its application and demonstrate its feasibility and practicability. Results show that the proposed method is efficient and robust.

关键词： Multi-attribute decision making Combinational weight TOPSIS Grey relation analysis Relative similarity degree

作者: Zhixin Su Guoping Xia

作者单位: School of Economics and Management, Beihang University, Beijing 100083, China

会议类型: 国际会议

会议名称: The Ninth International Conference on Industrial Management(第九届工业管理国际会议 ICIM2008)

会议地点: 日本大阪

会议语种:英文

页码: 675-680

在线出版日期: 2008-09-16（万方平台首次上网日期，不代表论文的发表时间）