A novel linguistic approach for multi-granular information fusion and decision-making using risk-based linguistic D numbers

被引：35

作者：

Seiti, Hamidreza ^{[1
]}

Hafezalkotob, Ashkan ^{[2
]}

Herrera-Viedma, Enrique ^{[3
,4
]}

机构：

[1] Islamic Azad Univ, Sci & Res Branch, Dept Ind Engn, Tehran, Iran

[2] Islamic Azad Univ, South Tehran Branch, Dept Ind Engn, Tehran, Iran

[3] Univ Granada, Andalusian Res Inst Data Sci & Computat Intellige, Granada 18071, Spain

[4] RUDN Univ, Peoples Friendship Univ Russia, Moscow, Russia

来源：

INFORMATION SCIENCES | 2020年 / 530卷

关键词：

D numbers; Interval-valued linguistic D numbers; Risk-based information fusion; Risk-based D numbers; FAILURE MODE; BELIEF STRUCTURES; FRAMEWORK; SELECTION; UNCERTAINTY; COMBINATION;

D O I：

10.1016/j.ins.2020.04.006

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The D numbers methodology is a new mathematical approach that has been developed to improve some constraints surrounding evidence theory by managing information uncertainty and incompleteness. Various studies have been conducted on developing D numbers. One of the main extensions of the D numbers methodology is linguistic D numbers, which employs linguistic terms as a set of evaluations of D numbers. In this study, linguistic D numbers are further extended to an interval-valued belief structure. Additionally, to consider the various risk scenarios of each linguistic D number, a risk-based linguistic D numbers model is presented, based on proposed interval-valued linguistic D numbers. The efficiency of the proposed model is investigated by applying it to numerical examples and considering a case study. The results show the robustness of the risk-based linguistic D numbers methodology while simultaneously applying various risk scenarios. (C) 2020 Elsevier Inc. All rights reserved.

引用

页码：43 / 65

页数：23

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