Transformative Pathways to Metaverse Integration in Intelligent Transportation Systems Using Pythagorean Fuzzy CRITIC-AROMAN Method

• Published in: IEEE access Vol. 12; pp. 119383 - 119404
• Main Authors: Anjum, Mohd, Simic, Vladimir, Min, Hong, Kraiem, Naoufel
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: CRITIC-AROMAN; Decision making; Entropy; Extended reality; Fuzzy sets; Fuzzy systems; Human motion; Intelligent transportation systems; MCDM; Metaverse; Pythagorean fuzzy set (PyFS); Sustainable development; Urban areas; Virtual reality
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2024.3449417

The dynamic Metaverse, a hybrid of virtual reality and immersive simulations, has transcended its origins in gaming and has become ingrained in many facets of everyday life. This innovation has an interesting prospect for the integration of the Metaverse, as it is affecting the intricate sector of intelligent transportation systems. However, as there are a variety of implementation strategies in this ecosystem, there are intricate roadblocks that must be carefully considered while making decisions. In this paper, the Pythagorean fuzzy (PyF) with CRITIC-AROMAN evaluation model provides cutting-edge for comprehensively rank alternative implementation approaches. CRITIC (criteria importance through intercriteria correlation) is one of the decision-making models that is used to find importance of each criterion within the context of Metaverse integration. This abstract, which emphasizes of the PyF with CRITIC-AROMAN model and the critical role of CRITIC in enhancing decision-making precision, provides a major new contribution to the subject. With intelligent transportation systems playing a major role in the Metaverse movement, this research offers policymakers crucial insights into this field. Through the complex web of human experiences, it seeks to assist people in making informed decisions.