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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Autori principali:	Maryam Arshi, Abdollah Hadi-Vencheh, Adel Aazami, Ali Jamshidi
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Iran University of Science & Technology 2024-12-01
Serie:	International Journal of Industrial Engineering and Production Research
Soggetti:	multiple attribute group decision making (magdm) interval-valued neutrosophic number (ivnn) non-linear programming variable transformation aggregation operators
Accesso online:	http://ijiepr.iust.ac.ir/article-1-2094-en.pdf
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