Adaptive solutions for metaverse urban mobility through decision-making and blockchain
In this paper, we utilise blockchain technology (BT) and circular q-rung orthopair fuzzy sets (Cq-ROFS) to address practical issues related to urban transportation and supply chain management (SCM). Recognising the weaknesses of earlier approaches such as circular intuitionistic fuzzy sets (C-IFS),...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-11-01
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| Series: | Alexandria Engineering Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016824006707 |
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| author | Shuchen Zhou Lei Yu Yinling Wang Sami Dhahbi Mouhebeddine Berrima Mohd Anjum |
| author_facet | Shuchen Zhou Lei Yu Yinling Wang Sami Dhahbi Mouhebeddine Berrima Mohd Anjum |
| author_sort | Shuchen Zhou |
| collection | DOAJ |
| description | In this paper, we utilise blockchain technology (BT) and circular q-rung orthopair fuzzy sets (Cq-ROFS) to address practical issues related to urban transportation and supply chain management (SCM). Recognising the weaknesses of earlier approaches such as circular intuitionistic fuzzy sets (C-IFS), we work Cq-ROFS to better accommodate imprecise input. Novel approaches that use into metaverse settings are being investigated as a means of addressing the complex problems associated with urban mobility. This study use the SWARA-AROMAN approach to evaluate potential blockchain integration possibilities for metaverse urban mobility. Sensitivity analysis and comprehensive evaluation yield powerful insights into the robustness and adaptability of solutions. With these findings at their disposal, policymakers will be more equipped to take on unpredictability and take advantage of opportunities for sustainable urban mobility. To enhance urban transportation solutions in the dynamic metaverse, future strategies should concentrate on improving processes and exploring novel technology. Ultimately, this research emphasises how critical it is to foster interdisciplinary collaboration and ongoing innovation if we hope to influence the patterns of urban mobility in the metaverse. |
| format | Article |
| id | doaj-art-b15efe363a2143c68930ac6f7750c0fe |
| institution | Kabale University |
| issn | 1110-0168 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Alexandria Engineering Journal |
| spelling | doaj-art-b15efe363a2143c68930ac6f7750c0fe2024-11-15T06:11:05ZengElsevierAlexandria Engineering Journal1110-01682024-11-01107114Adaptive solutions for metaverse urban mobility through decision-making and blockchainShuchen Zhou0Lei Yu1Yinling Wang2Sami Dhahbi3Mouhebeddine Berrima4Mohd Anjum5Institute of International Education, Huanghuai University, Kaiyuan Road, Zhumadian, 463000, Henan, PR China; Department of Computer Science, COMSATS University Islamabad, Abbottabad 22060, Pakistan; Corresponding author at: Institute of International Education, Huanghuai University, Kaiyuan Road, Zhumadian, 463000, Henan, PR China.Institute of International Education, Huanghuai University, Kaiyuan Road, Zhumadian, 463000, Henan, PR China; Department of Computer Science, COMSATS University Islamabad, Abbottabad 22060, PakistanInstitute of International Education, Huanghuai University, Kaiyuan Road, Zhumadian, 463000, Henan, PR ChinaApplied College of Mahail Aseer, King Khalid University, Muhayil Aseer, 62529, Saudi ArabiaUnit of Scientific Research, Applied College, Qassim University, Buraydah, Saudi ArabiaApplied Department of Computer Engineering, Aligarh Muslim University, Aligarh 202002, IndiaIn this paper, we utilise blockchain technology (BT) and circular q-rung orthopair fuzzy sets (Cq-ROFS) to address practical issues related to urban transportation and supply chain management (SCM). Recognising the weaknesses of earlier approaches such as circular intuitionistic fuzzy sets (C-IFS), we work Cq-ROFS to better accommodate imprecise input. Novel approaches that use into metaverse settings are being investigated as a means of addressing the complex problems associated with urban mobility. This study use the SWARA-AROMAN approach to evaluate potential blockchain integration possibilities for metaverse urban mobility. Sensitivity analysis and comprehensive evaluation yield powerful insights into the robustness and adaptability of solutions. With these findings at their disposal, policymakers will be more equipped to take on unpredictability and take advantage of opportunities for sustainable urban mobility. To enhance urban transportation solutions in the dynamic metaverse, future strategies should concentrate on improving processes and exploring novel technology. Ultimately, this research emphasises how critical it is to foster interdisciplinary collaboration and ongoing innovation if we hope to influence the patterns of urban mobility in the metaverse.http://www.sciencedirect.com/science/article/pii/S1110016824006707Supply chain managementSWARAAROMANElectronic toll collectionMetaverseBlockchain |
| spellingShingle | Shuchen Zhou Lei Yu Yinling Wang Sami Dhahbi Mouhebeddine Berrima Mohd Anjum Adaptive solutions for metaverse urban mobility through decision-making and blockchain Alexandria Engineering Journal Supply chain management SWARA AROMAN Electronic toll collection Metaverse Blockchain |
| title | Adaptive solutions for metaverse urban mobility through decision-making and blockchain |
| title_full | Adaptive solutions for metaverse urban mobility through decision-making and blockchain |
| title_fullStr | Adaptive solutions for metaverse urban mobility through decision-making and blockchain |
| title_full_unstemmed | Adaptive solutions for metaverse urban mobility through decision-making and blockchain |
| title_short | Adaptive solutions for metaverse urban mobility through decision-making and blockchain |
| title_sort | adaptive solutions for metaverse urban mobility through decision making and blockchain |
| topic | Supply chain management SWARA AROMAN Electronic toll collection Metaverse Blockchain |
| url | http://www.sciencedirect.com/science/article/pii/S1110016824006707 |
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