Comparison of Monolithic and Structural Decision Models Using the Hamming Distance

Shekhovtsov A., Rafiei A., Sałabun W.

17th International Conference on Agents and Artificial Intelligence, ICAART 2025, Porto, Portugal, 23 - 25 February 2025, vol.3, pp.280-287, (Full Text) identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 3
  • Doi Number: 10.5220/0013120200003890
  • City: Porto
  • Country: Portugal
  • Page Numbers: pp.280-287
  • Keywords: COMET, Expected Solution Point, MCDA, Multi-Criteria Decision Making
  • Yıldız Technical University Affiliated: Yes

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.