Prioritization of sustainable approaches for smart waste management of automotive fuel cells of road freight vehicles using the q-rung orthopair fuzzy CRITIC-EDAS method

Farid, Hafiz Muhammad Athar; Dabic-Miletic, Svetlana; Riaz, Muhammad; Simic, Vladimir; Pamucar, Dragan

doi:10.1016/j.ins.2024.120162

Information Sciences

2024

DOI: 10.1016/j.ins.2024.120162

|View full text |Cite

Prioritization of sustainable approaches for smart waste management of automotive fuel cells of road freight vehicles using the q-rung orthopair fuzzy CRITIC-EDAS method

Hafiz Muhammad Athar Farid,

Svetlana Dabic-Miletic,

Muhammad Riaz

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article3

Relationship

Self Cite0

Independent3

Authors

Journals

Cited by 3 publications

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Multiple prior representation learning for self-supervised monocular depth estimation via hybrid transformer

Sun,

Liu,

Liu

et al. 2024

Engineering Applications of Artificial Intelligence

View full text Add to dashboard Cite

Multiple prior representation learning for self-supervised monocular depth estimation via hybrid transformer

Sun,

Liu,

Liu

et al. 2024

Engineering Applications of Artificial Intelligence

View full text Add to dashboard Cite

Identifying and modelling the barriers to returns of end-of-life (EOL) heavy-duty machinery in Nigeria: A consumers’ perspective

Meng,

Okwara

2024

Journal of Cleaner Production

View full text Add to dashboard Cite

Healthcare Waste Management through Multi-Stage Decision-Making for Sustainability Enhancement

Anjum,

Min,

Ahmed

2024

Sustainability

View full text Add to dashboard Cite

The possible threats that healthcare waste management (HWM) poses to the environment and public health are making it more and more crucial for medical facility administrators to be worried about it. This is in line with the global trend towards firms giving sustainability more of a priority. Many organizations, including the World Health Organization (WHO) and other organizations, as well as national and state laws, have mandated the proper disposal of infectious and hazardous healthcare waste. To effectively address the complex problem of selecting the best treatment option for HWM, a multi-criteria decision-making (MCDM) procedure must be used. The alternative ranking order method accounting for two-step normalization (AROMAN) methodology is provided in the context of q-rung orthopair fuzzy environment. This method comprises two steps of normalization and is based on the criteria importance through intercriteria correlation (CRITIC) paradigm. Whereas the AROMAN methodology uses vector and linear normalization techniques to improve the accuracy of the data for further computations, the CRITIC method assesses the intercriteria correlations and scores the significance of each criterion. The ranking from the proposed method is Al5>Al4>Al3>Al1>Al2. The study’s conclusions indicate that recycling (Al5) is the best option since it lessens trash production, aids in resource recovery, and protects the environment. Using this method helps decision makers deal with subjectivity and ambiguity more skillfully, promotes consistency and transparency in decision making, and streamlines the process of choosing the best waste management system. Sustainable waste management practices have been implemented in the biomedical industry with some success. The proposed technique is a helpful tool for legislators and practitioners seeking to improve waste management systems.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Prioritization of sustainable approaches for smart waste management of automotive fuel cells of road freight vehicles using the q-rung orthopair fuzzy CRITIC-EDAS method

Cited by 3 publications

References 41 publications

Multiple prior representation learning for self-supervised monocular depth estimation via hybrid transformer

Multiple prior representation learning for self-supervised monocular depth estimation via hybrid transformer

Identifying and modelling the barriers to returns of end-of-life (EOL) heavy-duty machinery in Nigeria: A consumers’ perspective

Healthcare Waste Management through Multi-Stage Decision-Making for Sustainability Enhancement

Contact Info

Product

Resources

About