Duleba, Szabolcs and Kutlu Gündoğdu, Fatma and Esztergár-Kiss, Domokos (2025) A New Decomposed Fuzzy-Best-Worst-Analytic Hierarchy Process Model to Evaluate Perspectives of the Autonomous Vehicle Industry. INFORMATICA (LITHUANIA), 36 (2). pp. 285-313. ISSN 0868-4952 10.15388/25-INFOR593

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Abstract

The Autonomous Vehicle (AV) industry is constantly growing, thus analysing its perspectives is essential. However, for this analysis a sophisticated approach is necessary which considers the ambiguity of decision-makers, and different objectives and criteria related to stakeholders. In this paper a new model is proposed based on Decomposed Fuzzy Sets and the Best-Worst Method to deal with possible non-reciprocity of pairwise comparisons and different preferences of stakeholders in the AV industry. The main advantage of the model is that it is capable of considering optimistic and pessimistic attitudes along with the different objectives and criteria of the involved groups. The results show that users require short travel time, while operators, manufacturers and legislators expect mainly the increase of revenues from the AV implementation. Among the most important criteria, our analysis indicates the need of regulatory and safety issues are the most essential obstacles of expanding the AV industry. The new model can also be applied for evaluating the perspectives of other emerging technologies and industrial sectors.

Item Type:	Article
Subjects:	Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions:	Systems and Control Lab
SWORD Depositor:	MTMT Injector
Depositing User:	MTMT Injector
Date Deposited:	15 Jul 2025 09:37
Last Modified:	15 Jul 2025 09:37
URI:	https://eprints.sztaki.hu/id/eprint/10949

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