Studying Multiple Attribute Decision Making under Uncertain Linguistic Environment

摘要：

The aim of this paper is to investigate the multiple attribute decision making problems with uncertain linguistic information, in which the information about attribute weights is completely unknown, and the attribute values take the form of uncertain linguistic variables. An optimization model based on the ideal solution of attribute values is established. By solving this model, a simple and exact formula can be used to determine the attribute weights. The uncertain linguistic weighting average (ULWA) operator is utilized to aggregate the uncertain 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 at the end of this paper.

关键词： Multiple attributes decision making uncertain linguistic variables and uncertain linguistic weighting average (ULWA) operator.

作者: Guiwu Wei Xiaorong Wang

作者单位: Department of Economy and Management Chongqing University of Arts and Sciences Yongchuan, Chongqing, Office Department Chongqing University of Arts and Sciences, Yongchuan, Chongqing, 402160,P.R.China

会议类型: 国际会议

会议名称: 2007 Conference on Systems Science, Management Science and System Dynamics(第二届系统科学、管理科学与系统动力学国际会议)

会议地点: 上海

会议语种:英文

页码: 2251-2256

在线出版日期: 2007-10-19（万方平台首次上网日期，不代表论文的发表时间）