A hesitant fuzzy multiple attribute group decision making approach based on TOPSIS for parts supplier selection

被引：6
|
作者：
Zhang, Junling [2 ]
Qi, Xiaowen [1 ]
Huang, Haibin [2 ]
机构：
[1] Hefei Univ Technol, Sch Management, Hefei 230009, Peoples R China
[2] Zhejiang Normal Univ, Sch Econ & Management, Jinhua 321004, Peoples R China
来源：
ARCHITECTURE, BUILDING MATERIALS AND ENGINEERING MANAGEMENT, PTS 1-4 | 2013年 / 357-360卷
基金：
美国国家科学基金会; 国家教育部科学基金资助; 高等学校博士学科点专项科研基金;
关键词：
Hesitant fuzzy set; Multiple attribute group decision making; Distance measure; TOPSIS; Parts supplier selection; SETS; INFORMATION; MODEL;
D O I：
10.4028/www.scientific.net/AMM.357-360.2730
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
This paper investigates multiple attribute group decision making (MAGDM) with hesitant fuzzy preference information, which is a significantly import issue to be deeply studied in management and industrial engineering. Firstly, simultaneously considering optimistic and pessimistic attitudinal preference information, an improved distance measure for hesitant fuzzy set is defined. Then, utilizing the newly defined distance measure, a hesitant fuzzy multiple attribute group decision making approach based on TOPSIS method is constructed, which can effectively avoid high complexity of aggregating hesitant fuzzy information in traditional methods. Further, an application study on parts supplier selection has verified the practically and effectiveness of developed methods.
引用
收藏
页码：2730 / +
页数：3
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