Towards Enhanced Decision Making: Integrating Weighted Expected Solution Points in Multi-Criteria Analysis

Andrii Shekhovtsov, Andrii Shekhovtsov, Bartłomiej Kizielewicz, Bartłomiej Kizielewicz, Wojciech Sałabun, Wojciech Sałabun

2025

Abstract

Multi-Criteria Decision Analysis (MCDA) addresses complex problems across various domains by considering multiple decision criteria. This interdisciplinary field offers a systematic approach to decision-making, accommodating contradictory criteria and non-linear factors. Reference points are crucial in MCDA, facilitating a nuanced understanding of decision interrelationships and outcomes. While classic MCDA methods rely on static reference points, recent advances introduce manual allocation mechanisms, such as the Stable Preference Ordering Toward Ideal Solution (SPOTIS) and Characteristic Objects Method (COMET). However, incorporating reference points alone may overlook the significance of individual criteria, leading to the paradox of equal evaluations. To address this issue, an extension of the COMET method, Expected Solution Point (ESP-COMET), introduces weighted considerations to accurately reflect experts’ preferences. This paper proposes a methodology to integrate weights into ESP-COMET, enhancing its efficacy in decision modeling. We applied the proposed approach in the case study focused on the evaluation of hydrogen-fueled vehicles. Identifying the decision model and considering both the expected solution point and the relevance of the criteria to it, we demonstrated the utility of weighted ESP in improving decision-making processes.

Paper Citation

in Harvard Style

Shekhovtsov A., Kizielewicz B. and Sałabun W. (2025). Towards Enhanced Decision Making: Integrating Weighted Expected Solution Points in Multi-Criteria Analysis. In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-737-5, SciTePress, pages 272-279. DOI: 10.5220/0013120100003890

in Bibtex Style

@conference{icaart25,
author={Andrii Shekhovtsov and Bartłomiej Kizielewicz and Wojciech Sałabun},
title={Towards Enhanced Decision Making: Integrating Weighted Expected Solution Points in Multi-Criteria Analysis},
booktitle={Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2025},
pages={272-279},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013120100003890},
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 - Towards Enhanced Decision Making: Integrating Weighted Expected Solution Points in Multi-Criteria Analysis
SN - 978-989-758-737-5
AU - Shekhovtsov A.
AU - Kizielewicz B.
AU - Sałabun W.
PY - 2025
SP - 272
EP - 279
DO - 10.5220/0013120100003890
PB - SciTePress