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

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.

Authors
Seiti H.1 , Hafezalkotob A.2 , Herrera-Viedma E. 3, 4
Publisher
Elsevier Inc.
Language
English
Pages
43-65
Status
Published
Volume
530
Year
2020
Organizations
  • 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
Keywords
D numbers; Interval-valued linguistic D numbers; Risk-based information fusion; Risk-based D numbers
Date of creation
02.11.2020
Date of change
02.11.2020
Short link
https://repository.rudn.ru/en/records/article/record/65867/
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