Abstract
The autonomous vehicle driving systems' decision-making processes are distinct from those of the users, enabling them to supervise and control the operations of automobiles in both anticipated and unforeseen situations. Although utilizing this technology has several benefits, including fewer accidents brought on by human error and more effective energy usage, it is also clear that there are significant risks associated. Therefore, it will be useful to design a risk assessment application for these systems given the risks connected with autonomous vehicles and/or driving systems that must be assessed and addressed. This article presents a multi-criteria decision-making strategy to evaluate the risk probabilities of autonomous vehicle driving systems by combining the AHP technique with interval-valued Fermatean fuzzy sets. Interval-valued Fuzzy Fermat presents six options for autonomous driving systems for vehicles, which have been evaluated in the application based on six main criteria and fifteen sub-criteria criteria. The findings of this study have demonstrated that the threat posed by cyberattacks is being addressed and given priority to improve the success of the introduction of autonomous vehicle driving systems.
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