Akademik Veri Yönetim Sistemi
2023 International Conference on Intelligent Computing and Technology Applications, Shanghai, Çin, 24 - 25 Haziran 2023, ss.1-12, (Tam Metin Bildiri)
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 a number of benefits, including fewer accidents brought on by human mistakes and more effective energy usage, it is also clear that thereare significant risks associated. It will be desirable to create a risk assessment application for these systems, given the risks related to autonomous vehicles and/or driving systems that must be assessed and addressed. This paper proposes a multi-criteria decision-making technique to evaluate the possibilities for autonomous vehicle driving systems in terms of risk criteria, combining AHP, TOPSIS, and DEMATEL approaches in a Fermatean fuzzy interval-valued environment. Interval-valued In the application, Fuzzy Fermatean presents six options for autonomous vehicle driving systems that have been evaluated using six main criteria and fifteen supporting criteria. Comparative and sensitivity studies have also been utilized to show the adaptability, validity, and verification of the suggested technique, as well as the sensitivity of the decisions reached. Based on the application findings and studies that have been conducted, potential implications from atheoretical, managerial, and policy perspective have been addressed.