Comparison of Monolithic and Structural Decision Models Using the Hamming Distance
Andrii Shekhovtsov, Andrii Shekhovtsov, Amirkia Rafiei, Wojciech Sałabun, Wojciech Sałabun
2025
Abstract
This study shows a simple yet effective approach to comparing decision models built using the Characteristic Objects Method (COMET). The proposed approach is based on the Hamming Distance and its adaptation for complex decision problems that involve structural division of the model. We demonstrate the simulation-based proof-of-concept and then demonstrate the proposed approach to the case study of evaluating ten hydrogen cars based on the information provided by the manufacturers. We compared six decision models created based on the preferences of three decision makers expressed using Expected Solution Point (ESP) and Triad Support algorithm. The results obtained provide, on the one hand, some useful insights into customers’ preferences and expectations for hydrogen cars and, on the other hand, show the utilization of the proposed comparison methodology.
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in Harvard Style
Shekhovtsov A., Rafiei A. and Sałabun W. (2025). Comparison of Monolithic and Structural Decision Models Using the Hamming Distance. In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-737-5, SciTePress, pages 280-287. DOI: 10.5220/0013120200003890
in Bibtex Style
@conference{icaart25,
author={Andrii Shekhovtsov and Amirkia Rafiei and Wojciech Sałabun},
title={Comparison of Monolithic and Structural Decision Models Using the Hamming Distance},
booktitle={Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2025},
pages={280-287},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013120200003890},
isbn={978-989-758-737-5},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Comparison of Monolithic and Structural Decision Models Using the Hamming Distance
SN - 978-989-758-737-5
AU - Shekhovtsov A.
AU - Rafiei A.
AU - Sałabun W.
PY - 2025
SP - 280
EP - 287
DO - 10.5220/0013120200003890
PB - SciTePress