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A Decision Support System for Assessing and Prioritizing Sustainable Urban Transportation in Metaverse

Deveci, Muhammet; Mishra, Arunodaya Raj; Gokasar, Ilgin; Rani, Pratibha; Pamucar, Dragan; Ozcan, Ender

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Authors

Muhammet Deveci

Arunodaya Raj Mishra

Ilgin Gokasar

Pratibha Rani

Dragan Pamucar

Profile image of ENDER OZCAN

ENDER OZCAN ender.ozcan@nottingham.ac.uk
Professor of Computer Science and Operational Research



Abstract

Blockchain technology and metaverse advancements allow people to create virtual personalities and spend time online. Integrating public transportation into the metaverse could improve services and collect user data. This study introduces a hybrid decision-making framework for prioritizing sustainable public transportation in Metaverse under q-rung orthopair fuzzy set (q-ROFS) context. In this regard, firstly q-rung orthopair fuzzy (q-ROF) generalized Dombi weighted aggregation operators (AOs) and their characteristics are developed to aggregate the q-ROF information. Second, a q-ROF information-based method using the removal effects of criteria (MEREC) and stepwise weight assessment ratio analysis (SWARA) models are proposed to find the objective and subjective weights of criteria, respectively. Then, a combined weighting model is taken to determine the final weights of the criteria. Third, the weighted sum product (WISP) method is extended to q-ROFS context by considering the double normalization procedures, the proposed operators and integrated weighting model. This method has taken the advantages of two normalization processes and four utility measures that approve the effect of benefit and cost criteria by using weighted sum and weighted product models. Next, to demonstrate the practicality and effectiveness of the presented method, a case study of sustainable public transportation in metaverse is presented in the context of q-ROFSs. The findings of this study confirms that the proposed model can recommend more feasible performance while facing numerous influencing factors and input uncertainties, and thus, provides a wider range of applications

Citation

Deveci, M., Mishra, A. R., Gokasar, I., Rani, P., Pamucar, D., & Ozcan, E. (2023). A Decision Support System for Assessing and Prioritizing Sustainable Urban Transportation in Metaverse. IEEE Transactions on Fuzzy Systems, 31(2), 475-484. https://doi.org/10.1109/TFUZZ.2022.3190613

Journal Article Type Article
Acceptance Date Jun 28, 2022
Online Publication Date Jul 13, 2022
Publication Date 2023-02
Deposit Date Jul 14, 2022
Publicly Available Date Jul 15, 2022
Journal IEEE Transactions on Fuzzy Systems
Print ISSN 1063-6706
Electronic ISSN 1941-0034
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 31
Issue 2
Pages 475-484
DOI https://doi.org/10.1109/TFUZZ.2022.3190613
Keywords Applied Mathematics; Artificial Intelligence; Computational Theory and Mathematics; Control and Systems Engineering
Public URL https://nottingham-repository.worktribe.com/output/8952680
Publisher URL https://ieeexplore.ieee.org/document/9829318

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