Hesitant fuzzy multiple attribute decision making method based on optimization of attribute weights

被引：0

作者：

Liu X.-D. ^{[1
,2
]}

Zhu J.-J. ^{[1
]}

Zhang S.-T. ^{[1
,2
]}

Liu G.-D. ^{[1
]}

机构：

[1] College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing

[2] School of Mathematics and Physics, Anhui University of Technology, Ma'anshan

来源：

Kongzhi yu Juece/Control and Decision | 2016年 / 31卷 / 02期

关键词：

Attribute weight; Hesitant fuzzy set; Multiple attribute decision making;

D O I：

10.13195/j.kzyjc.2014.1931

中图分类号：

学科分类号：

摘要：

An approach based on multi-objective optimization of attribute weights is proposed to deal with the hesitant fuzzy multiple attribute decision making problem with attribute weights completely unknown. Firstly, the mean and variance for attribute values, and the correlation coefficients between attributes are computed. An optimization model is constructed to determine the attribute weights. Then, the similarity degree between each alternative and the hesitant fuzzy positive ideal point is obtained to rank the alternatives. Finally, a numerical example is given to illustrate the effectiveness and feasibility of the proposed method. © 2016, Editorial Office of Control and Decision. All right reserved.

引用

页码：297 / 302

页数：5

共 30 条

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