Evaluating the potential risks posed by autonomous vehicles by using a decomposed fuzzy multi-criteria decision-making model

Aslantas M., Kutlu Gündoğdu F., Moslem S.

Transportation Engineering, vol.21, 2025 (Scopus) identifier

  • Nəşrin Növü: Article / Article
  • Cild: 21
  • Nəşr tarixi: 2025
  • Doi nömrəsi: 10.1016/j.treng.2025.100372
  • jurnalın adı: Transportation Engineering
  • Jurnalın baxıldığı indekslər: Scopus
  • Açar sözlər: Analytic hierarchy process, Autonomous vehicles, Best-Worst Method, Decomposed Fuzzy Sets, Risk assessment
  • Açıq Arxiv Kolleksiyası: Məqalə
  • Adres: Bəli

Qısa məlumat

This research introduces a new method for evaluating potential risks linked to Autonomous Vehicles (AVs) by employing an integrated Decomposed Fuzzy Multi-Criteria Decision-Making model. The model thoroughly examines risk factors in the AV industry by incorporating the Best-Worst Method (BWM) within a decomposed fuzzy framework. By drawing from both literature reviews and expert insights, the methodology identifies and evaluates risks, taking into account optimistic and pessimistic perspectives. The enhanced decomposed fuzzy BWM approach offers a deeper insight into participants' cognitive processes. A comparison with traditional decomposed fuzzy AHP methods highlights the approach's efficiency and rationality. This novel model equips stakeholders with a robust tool for making well-informed decisions and mitigating risks in the fast-changing autonomous vehicle landscape. The study also introduces new modified aggregation operators, such as decomposed arithmetic and geometric means, which improve the precision and reliability of risk assessment by addressing the complexities and uncertainties involved in assessing AV-related risks.