A Method Based on TOPSIS and Distance Measures for Single-Valued Neutrosophic Linguistic Sets and Its Application

被引：0

作者：

Geng, Juanjuan ^{[1
]}

Ye, Wanhong ^{[2
]}

Xu, Dongsheng ^{[3
]}

机构：

[1] Lecturer of School of Department of Basic Courses, Sichuan Institute of Industrial Technology, Deyang,618500, China

[2] Associate professor of School of Department of Basic Courses, Sichuan Institute of Industrial Technology, Deyang,618500, China

[3] Professor of School of Science, Southwest Petroleum University, Chengdu,610500, China

来源：

IAENG International Journal of Applied Mathematics | 2021年 / 51卷 / 03期

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摘要：

In this paper, a new approach of single-valued neutrosophic linguistic (SVNL) distance measure is proposed in multiple-attribute group decision-making (MAGDM). The combining idea of the weighted average and the ordered weighted average is a SVNL distance. Firstly, we propose a new SVNL weighted distance measure, it is a SVNL combined and weighted distance (SVNLCWD) measure, which can reflect decision-makers'(DMs) attitudes towards the importance and weights of the argument. Secondly, a SVNLCWD-TOPSIS approach for MAGDM problems with SVNL information is proposed, and then a modified relative coefficient is proposed to sort the potential schemes. Finally, the validity and feasibility of the model are verified by an example of a low carbon logistics service provider selection. © 2021. All Rights Reserved.

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