A New Decomposed Fuzzy-Best-Worst-Analytic Hierarchy Process Model to Evaluate Perspectives of the Autonomous Vehicle Industry
Pub. online: 15 May 2025
Type: Research Article
Open Access
Open Access
Received
1 November 2024
1 November 2024
Accepted
1 April 2025
1 April 2025
Published
15 May 2025
15 May 2025
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.
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Biographies
Duleba Szabolcs
S. Duleba obtained his PhD title in 2008 and received the habilitation title in 2013 in management and business sciences. Currently, he is working at the Budapest University of Technology and Economics as an associate professor. His main research interest is modelling and applications of the Analytic Hierarchy Process and he has several publications on this topic in such high-level journals as Annals of Operations Research, Expert Systems with Applications, Applied Soft Computing, Journal of the Operational Research Society, and Central European Journal of Operations Research. Apart from publishing, he is a reviewer of the European Journal of Operational Research, Annals of Operations Research, Computers and Operations Research, and Omega journals. In 2010, he gained a scholarship of the Japan Society for the Promotion of Science (JSPS) and spent three years at Akita University in Japan as a researcher. Szabolcs Duleba held a “Brown Bag Seminar” for PhD students at Rutgers University, New Jersey, and made several presentations at La Sapienza University in Rome. Also, he received three times the National Excellence in Science grant in Hungary and was awarded by the Bolyai grant of the Hungarian Academy of Science.
Kutlu Gündoğdu Fatma
F. Kutlu Gündoğdu received her PhD from Istanbul Technical University in 2019. Following the completion of her doctorate, she began her academic career as an assistant professor at the National Defence University, where she currently serves as an associate professor. Her primary research interests focus on spherical fuzzy sets, a topic to which she has made pioneering contributions. She is recognized as one of the first researchers to introduce this approach into the academic literature. Dr. Gündoğdu’s scholarly work spans a wide range of areas, including fuzzy logic, clustering algorithms, decision-making systems, and artificial intelligence-based analytical methods. She has authored numerous peer-reviewed journal articles, conference papers, and has taken part in various research projects. Her academic output reflects both theoretical depth and practical relevance, significantly enriching her field of expertise.
Esztergár-Kiss Domokos
D. Esztergár-Kiss is a senior lecturer at Budapest University of Technology and Economics (BME) and international project coordinator of the Faculty of Transportation Engineering and Vehicle Engineering. His main research topics are the optimization of multimodal travel chains for passengers, the development of Mobility as a Service related solutions, and the establishment of workplace mobility plans for promoting sustainable commuting. He has published 50 papers in leading journals with Impact Factor. He was the main organizer of several international conferences (e.g. MT-ITS 2015, EWGT 2017, hEART 2019, and TRA 2026) and is involved in several Horizon 2020 projects, Interreg projects, and COST Actions (e.g. MoveCit, LinkingDanube, MaaS4EU, Electric travelling, BE OPEN, RegiaMobil, OJP4Danube, metaCCAZE). Moreover, he was a Fulbright scholar at the University of California, Davis in 2021, the chair of IEEE HS YP, he is a council member of AET and the vice-president of ECTRI.
