DYNAMIC UNCERTAIN LINGUISTIC WEIGHTED AVERAGING OPERATOR

摘要：

With respect to multiple periods multiple attribute decision making problems with uncertain linguistic preference relations. Definition and some operational laws of uncertain linguistic variables are introduced, and two new operators called dynamic uncertain linguistic weighted averaging (DULWA) operator and dynamic uncertain linguistic averaging (DULA) operator are presented. A model based on DULWA and DULA operators is developed to solve the multiple periods multiple attribute decision making problems which the attribute values takes the form of uncertain linguistic preference relations collected t different periods. Then the DULWA and DULA operators are utilized to aggregate the overall uncertain linguistic preference corresponding to each alternative, and then rank the alternatives and select the most desirable one(s). Finally, an illustrative example is given to verify the developed approach and to demonstrate its practicality and effectiveness.

关键词： Multiple Periods Multiple Attribute Decision Making Uncertain Linguistic Preference Relations Operational Laws Dynamic Uncertain Linguistic Weighted Averaging (DULWA)Operator Dynamic Uncertain Linguistic Averaging (DULA) Operator

作者: GUI-WU WEI

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

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 2540-2545

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）