A nonlinear model to solve multiple attribute decision-making problems with interval-valued neutrosophic numbers

Linguistic variables (LVs) provide a reliable expression of cognitive information. By inheriting the advantages of LVs, we can express uncertain and incomplete cognitive information in multiple attribute decision-making (MADM), and they do so better than existing methods.  In the decision-making pro...

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Main Authors: Maryam Arshi, Abdollah Hadi-Vencheh, Adel Aazami, Ali Jamshidi
Format: Article
Language:English
Published: Iran University of Science & Technology 2024-12-01
Series:International Journal of Industrial Engineering and Production Research
Subjects:
Online Access:http://ijiepr.iust.ac.ir/article-1-2094-en.pdf
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author Maryam Arshi
Abdollah Hadi-Vencheh
Adel Aazami
Ali Jamshidi
author_facet Maryam Arshi
Abdollah Hadi-Vencheh
Adel Aazami
Ali Jamshidi
author_sort Maryam Arshi
collection DOAJ
description Linguistic variables (LVs) provide a reliable expression of cognitive information. By inheriting the advantages of LVs, we can express uncertain and incomplete cognitive information in multiple attribute decision-making (MADM), and they do so better than existing methods.  In the decision-making process, we can consider decision experts’ (DEs’) bounded rationality, such as cognition toward loss caused by the DEs’ cognitive limitations during the decision process. Therefore, it is necessary to propose a novel cognitive decision approach to handle MADM problems in which the cognitive information is expressed by LVs. In this paper, we employ LVs to represent uncertain and hesitant cognitive information. Then, we propose a mathematical programming approach to solve the MADM problems where attributes or cognitive preferences are not independent.  Moreover, the validity and superiority of the presented approach are verified by dealing with a practical problem.
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id doaj-art-a637cfe31b3e447d8cc17a8987d204f2
institution OA Journals
issn 2008-4889
2345-363X
language English
publishDate 2024-12-01
publisher Iran University of Science & Technology
record_format Article
series International Journal of Industrial Engineering and Production Research
spelling doaj-art-a637cfe31b3e447d8cc17a8987d204f22025-08-20T02:23:08ZengIran University of Science & TechnologyInternational Journal of Industrial Engineering and Production Research2008-48892345-363X2024-12-013546074A nonlinear model to solve multiple attribute decision-making problems with interval-valued neutrosophic numbersMaryam Arshi0Abdollah Hadi-Vencheh1Adel Aazami2Ali Jamshidi3 Department of Mathematics, Najafabad Branch, Islamic Azad University, Isfahan, Iran Department of Mathematics, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran Department of Global Business and Trade, Institute for Transport and Logistics Management, Vienna University of Economics and Business, Vienna, Austria Department of Mathematics, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran Linguistic variables (LVs) provide a reliable expression of cognitive information. By inheriting the advantages of LVs, we can express uncertain and incomplete cognitive information in multiple attribute decision-making (MADM), and they do so better than existing methods.  In the decision-making process, we can consider decision experts’ (DEs’) bounded rationality, such as cognition toward loss caused by the DEs’ cognitive limitations during the decision process. Therefore, it is necessary to propose a novel cognitive decision approach to handle MADM problems in which the cognitive information is expressed by LVs. In this paper, we employ LVs to represent uncertain and hesitant cognitive information. Then, we propose a mathematical programming approach to solve the MADM problems where attributes or cognitive preferences are not independent.  Moreover, the validity and superiority of the presented approach are verified by dealing with a practical problem.http://ijiepr.iust.ac.ir/article-1-2094-en.pdfmultiple attribute group decision making (magdm)interval-valued neutrosophic number (ivnn)non-linear programmingvariable transformationaggregation operators
spellingShingle Maryam Arshi
Abdollah Hadi-Vencheh
Adel Aazami
Ali Jamshidi
A nonlinear model to solve multiple attribute decision-making problems with interval-valued neutrosophic numbers
International Journal of Industrial Engineering and Production Research
multiple attribute group decision making (magdm)
interval-valued neutrosophic number (ivnn)
non-linear programming
variable transformation
aggregation operators
title A nonlinear model to solve multiple attribute decision-making problems with interval-valued neutrosophic numbers
title_full A nonlinear model to solve multiple attribute decision-making problems with interval-valued neutrosophic numbers
title_fullStr A nonlinear model to solve multiple attribute decision-making problems with interval-valued neutrosophic numbers
title_full_unstemmed A nonlinear model to solve multiple attribute decision-making problems with interval-valued neutrosophic numbers
title_short A nonlinear model to solve multiple attribute decision-making problems with interval-valued neutrosophic numbers
title_sort nonlinear model to solve multiple attribute decision making problems with interval valued neutrosophic numbers
topic multiple attribute group decision making (magdm)
interval-valued neutrosophic number (ivnn)
non-linear programming
variable transformation
aggregation operators
url http://ijiepr.iust.ac.ir/article-1-2094-en.pdf
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