OTONOM ARAÇ SÜRÜŞ SİSTEMLERİ İÇİN YENİ BİR RİSK DEĞERLENDİRME YÖNTEMİ: FERMATEAN FUZZY AHP YÖNTEMİ

Abstract

The autonomous driving system is made up of a variety of parts that may be combined depending on how the automobile is driven and how decisions are made in both predictable and unforeseen circumstances. To achieve the objectives stated by users, a virtual drive carries out these actions. According to the American Automobile Association Foundation, the key benefits of autonomous driving systems are that they liberate the drivers from their attentional states. These devices do, however, present some safety issues that need to be investigated and mitigated. Using interval-valued Fermatean fuzzy sets, which may be utilized to reflect uncertainty in the decision-making process, we investigate autonomous driving systems in this study to prioritize risks.