Linguistic Multiple Attribute Decision Making Method by Closeness to Ideal Point

摘要：

The aim of this paper is to investigate the linguistic multiple attribute decision making problems with incompletely known weight information.An optimization model is established to determine the attribute weights.Then the linguistic weighted arithmetic average(LWAA)operator is utilized to aggregate the linguistic variables corresponding to each alternative,and then the alternatives are ranked by means of the aggregated linguistic information.Finally.an example is shown to highlight the procedure of the proposed algorithm.

关键词： Muitiple attribute decision making Linguistic variables Attribute weight Linguistic weighted arithmetic average(LWAA)operator

作者: Gui-WU Wei Hai-Bo Cao

会议类型: 国际会议

会议名称: The International Conference Information Computing and Automation(2007国际信息计算与自动化会议)

会议地点: 成都

会议语种:英文

页码: 1521-1524

在线出版日期: 2007-12-19（万方平台首次上网日期，不代表论文的发表时间）