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Titolo
Transportation decisions in supply chain management using interval-valued q-rung orthopair fuzzy soft information
Autor(es)
Soggetto
Interval-valued q-rung orthopair fuzzy soft sets
Einstein aggregation operators
MCGDM
Transportation
Supply chain management
Clasificación UNESCO
1209.03 Análisis de Datos
5312.12 Transportes y Comunicaciones
Fecha de publicación
2024-07
Editore
Elsevier
Citación
Zulqarnain, R. M., Naveed, H., Siddique, I., & Alcantud, J. C. R. (2024). Transportation decisions in supply chain management using interval-valued q-rung orthopair fuzzy soft information. Engineering Applications of Artificial Intelligence, 133, 108410. https://doi.org/10.1016/j.engappai.2024.108410
Resumen
[EN] The selection of a reliable and competent transportation company is a typical multi-criteria group decision-
making (MCGDM) challenge in supply chain management. MCGDM has been widely used for decision support under ambiguity and uncertainty. This paper considers this problem in the setting of interval-valued q-rung orthopair fuzzy soft sets (IVq-ROFSS), a novel extension of fuzzy sets that presents an integrated approach to interpreting imperfect and ambiguous data. This study explores the novel Einstein aggregation operators (AOs) for this model, specifically the interval-valued q-rung orthopair fuzzy soft Einstein weighted average (IVq-ROFSEWA) and interval-valued q-rung orthopair fuzzy soft Einstein weighted geometric (IVq-ROFSEWG). These operators can consider large amounts of data that include all connections among parameters. Their fundamental properties (such as idempotency, boundedness, homogeneity, monotonicity, and shift invariance) are presented and proven. With the assistance of the new Einstein AOs, we design a novel MCGDM approach. A case study is presented to choose the most reliable transportation company that endorses the rationality and credibility of the proposed decision-making technique in supply chain management. Hence, this research helps with an innovative decision-support structure for assessing transport corporations.
URI
ISSN
0952-1976
DOI
10.1016/j.engappai.2024.108410
Versión del editor
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