The Evaluation of Transport Vehicle Suppliers
- https://doi.org/10.2991/aebmr.k.200201.013How to use a DOI?
- artificial intelligence, Doctus knowledge-based system, decision-making
If in a twenty-five million city somebody changes three undergrounds, it is transportation. If you go to the pub by bicycle in a village of one hundred and fifty people, it is also transportation, but it is different. In a city of hundreds of thousands of people, transportation is already a common concern, and so it is left to professionals to figure it out. This requires decisions. The purpose of this study is to illustrate the preparation of a decision. During the preparation of the decision, the experts of a Hungarian transport company of the city of one hundred thousand people had to consider that the application of the ROIs they considered important was not applicable due to the public service character and the long-life cycle. Expectations were very diverse, and most were non-quantifiable. The leader of the company commissioned a team of experts to prepare the decision, consisting of an economist, a railway mechanical engineer, a transport system organizer engineer, an electrical engineer and an electric plant manager, as well as a city politician and civil servant. As a consultant, I strived for a transparent decision-making process, using the algorithm of a knowledge-based system based on Artificial Intelligence. This knowledge-based system can overcome the limitations of a person’s working memory and allow the exploration of the relationships between dozens of experts’ expectations.
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Jolan Velencei PY - 2020 DA - 2020/02/10 TI - The Evaluation of Transport Vehicle Suppliers BT - Proceedings of the 1st International Conference on Emerging Trends and Challenges in the Management Theory and Practice (ETCMTP 2019) PB - Atlantis Press SP - 61 EP - 64 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.200201.013 DO - https://doi.org/10.2991/aebmr.k.200201.013 ID - Velencei2020 ER -