A survey on artificial intelligence (ai) and explainable ai in air traffic management: Current trends and development with future research trajectory
Air Traffic Management (ATM) will be more complex in the coming decades due to the
growth and increased complexity of aviation and has to be improved in order to maintain …
growth and increased complexity of aviation and has to be improved in order to maintain …
Multi-criteria decision making methods: Application in the aviation industry
S Dožić - Journal of Air Transport Management, 2019 - Elsevier
Bearing in mind that making decisions in the aviation industry is usually related to the huge
investment, it is evident that a small saving of a few percent is not negligible. Decisions …
investment, it is evident that a small saving of a few percent is not negligible. Decisions …
Hesitant fuzzy SWARA-complex proportional assessment approach for sustainable supplier selection (HF-SWARA-COPRAS)
The selection of sustainable supplier is an extremely important for sustainable supply chain
management (SSCM). The assessment process of sustainable supplier selection is a …
management (SSCM). The assessment process of sustainable supplier selection is a …
Analysis of a robot selection problem using two newly developed hybrid MCDM models of TOPSIS-ARAS and COPRAS-ARAS
Traditional Multi-Criteria Decision Making (MCDM) methods have now become outdated;
therefore, most researchers are focusing on more robust hybrid MCDM models that combine …
therefore, most researchers are focusing on more robust hybrid MCDM models that combine …
A novel dynamic credit risk evaluation method using data envelopment analysis with common weights and combination of multi-attribute decision-making methods
Credit risk evaluation is always the most important factor in determining Customers' credit
status in financial institutions. Multi-Attribute Decision-Making (MADM) methods have been …
status in financial institutions. Multi-Attribute Decision-Making (MADM) methods have been …
Scheme selection of design for disassembly (DFD) based on sustainability: A novel hybrid of interval 2-tuple linguistic intuitionistic fuzzy numbers and regret theory
W Wang, G Tian, T Zhang, NH Jabarullah, F Li… - Journal of Cleaner …, 2021 - Elsevier
Abstract Design for disassembly (DFD) is an essential design technique to consider the
disassembly and recyclability of a product at the initial design stage. An efficient DFD …
disassembly and recyclability of a product at the initial design stage. An efficient DFD …
An extended Pythagorean fuzzy complex proportional assessment approach with new entropy and score function: Application in pharmacological therapy selection for …
In the context of medical decision making, the Type 2 Diabetes (T2D) pharmacological
therapy selection problem involves several medications that can be stipulated to manage …
therapy selection problem involves several medications that can be stipulated to manage …
[PDF][PDF] COVID-19 crisis and resilience of tourism SME's: A focus on policy responses
COVID-19 crisis and resilience of tourism SME's: a focus on policy responses Page 1 Full
Terms & Conditions of access and use can be found at https://www.tandfonline.com/action/journalInformation?journalCode=rero20 …
Terms & Conditions of access and use can be found at https://www.tandfonline.com/action/journalInformation?journalCode=rero20 …
Identifying and prioritizing cost reduction solutions in the supply chain by integrating value engineering and gray multi-criteria decision-making
Value engineering is an appropriate policy for creating and improving value, which reduces
unnecessary costs and maintains core functionality. Despite the mentioned benefits, this …
unnecessary costs and maintains core functionality. Despite the mentioned benefits, this …
A combined hesitant fuzzy MCDM approach for supply chain analytics tool evaluation
G Büyüközkan, M Güler - Applied Soft Computing, 2021 - Elsevier
Data quantity generated in supply chains expands as supply chain processes get more
complex. Companies can leverage such data and gain valuable insight into their processes …
complex. Companies can leverage such data and gain valuable insight into their processes …