[HTML][HTML] Spherical linear diophantine fuzzy soft rough sets with multi-criteria decision making
Modeling uncertainties with spherical linear Diophantine fuzzy sets (SLDFSs) is a robust
approach towards engineering, information management, medicine, multi-criteria decision …
approach towards engineering, information management, medicine, multi-criteria decision …
A flight base selection for flight academy using a rough MACBETH and RAFSI based decision-making analysis
Airport base selection for pilot training academy is an important issue in the aviation industry
because incorrect airport selection can have negative impact on flight operations for the …
because incorrect airport selection can have negative impact on flight operations for the …
[HTML][HTML] A new hybrid triple bottom line metrics and fuzzy MCDM model: Sustainable supplier selection in the food-processing industry
NV Thanh, NTK Lan - Axioms, 2022 - mdpi.com
Vietnam's food processing and production industries in the past have managed to receive
many achievements, contributing heavily to the growth of the country's economic growth …
many achievements, contributing heavily to the growth of the country's economic growth …
[HTML][HTML] Novel complex Pythagorean fuzzy sets under Aczel–Alsina operators and their application in multi-attribute decision making
Aggregation operators (AOs) are utilized to overcome the influence of uncertain and vague
information in different fuzzy environments. A multi-attribute decision-making (MADM) …
information in different fuzzy environments. A multi-attribute decision-making (MADM) …
[HTML][HTML] Closed-loop supply chain decision considering information reliability and security: should the supply chain adopt federated learning decision support systems …
X Wan, D Yang, T Wang, M Deveci - Annals of Operations Research, 2023 - Springer
The study considers the closed-loop supply chain (CLSC) decision using federated learning
platform (FL platform), establishes a CLSC game model including one manufacturer, one …
platform (FL platform), establishes a CLSC game model including one manufacturer, one …
[HTML][HTML] Investigation of cyber-security and cyber-crimes in oil and gas sectors using the innovative structures of complex intuitionistic fuzzy relations
Recently, there has been enormous development due to advancements in technology.
Industries and enterprises are moving towards a digital system, and the oil and gas …
Industries and enterprises are moving towards a digital system, and the oil and gas …
[HTML][HTML] Interval-valued linear Diophantine fuzzy Frank aggregation operators with multi-criteria decision-making
We introduce the notion of the interval-valued linear Diophantine fuzzy set, which is a
generalized fuzzy model for providing more accurate information, particularly in emergency …
generalized fuzzy model for providing more accurate information, particularly in emergency …
[HTML][HTML] Selection of most effective COVID-19 virus protector using a novel MCGDM technique under linguistic generalised spherical fuzzy environment
In this article, we have introduced a new linguistic generalized spherical fuzzy set by
combining the idea of generalized spherical fuzzy set and linguistic fuzzy set. Linguistic …
combining the idea of generalized spherical fuzzy set and linguistic fuzzy set. Linguistic …
Evaluation of social factors within the circular economy concept for European countries
The circular economy (CE) is a rapidly growing theme, particularly in the European Union
(EU), that encourages the responsible and circular use of resources in the field of …
(EU), that encourages the responsible and circular use of resources in the field of …
Spherical fuzzy information aggregation based on aczel–alsina operations and data analysis for supply chain
Spherical fuzzy sets (SFSs) are often made up of membership, nonmembership, and
hesitancy grades, and also have the advantage of accurately representing decision makers …
hesitancy grades, and also have the advantage of accurately representing decision makers …