Utilizing Large Language Models for Supporting Multi-Criteria Decision Modelling Method DEX

Marko Bohanec, Uroš Rajkovič and Vladislav Rajkovič

Abstract
We experimentally assessed the capabilities of two mainstream artificial intelligence chatbots, ChatGPT and DeepSeek, to support the multi-criteria decision-making process. Specifically, we focused on using the method DEX (Decision EXpert) and investigated their performance in all stages of DEX model development and utilization. The results indicate that these tools may substantially contribute in the difficult stages of collecting and structuring decision criteria, and collecting data about decision alternatives. However, at the current stage of development, the support for the whole MCDM process is still lacking, mainly due to occasionally inconsistent and erroneous execution of methodological steps.