A new method of hybrid multiple attribute decision making with weight information unknown

摘要：

This paper focuses on the hybrid multiple attribute decision making problem with weight information unknown and defines some new operations of 2-tuple linguistic firstly. Then, an optimization approach based on maximizing deviation theory is proposed to determine the weights of the attributes which they can be used to aggregate the estimated values of different attributes into a collective 2tuple linguistic by 2-tuple linguistic weighting arithmetic average operator. Finally, the proposed approach is proved to be effective and comprehensive with a numerical example.

关键词： hybrid multiple attribute decision making weight information unknown 2-tuple linguistic

作者: Lv Yue-jin Cheng Hong-tao Yang Wu-song

作者单位: College of Mathematics and Information Science Guangxi University Nanning 530004,China College of Mathematics and Information Science Guangxi University Nanning 530004, China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 21-25

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）