| Naslov: | An experimental evaluation of large language models in supporting the DEX multi-criteria decision-making process |
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| Avtorji: | ID Bohanec, Marko, Institut "Jožef Stefan" (Avtor)
ID Rajkovič, Uroš (Avtor)
ID Rajkovič, Vladislav (Avtor) |
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| Datoteke: |  URL - Izvorni URL, za dostop obiščite https://www.informatica.si/index.php/informatica/article/view/12884
 PDF - Predstavitvena datoteka, prenos (601,46 KB)
MD5: C80BC07A90ADD8A458B84AEE300DE713
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| Jezik: | Angleški jezik |
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| Tipologija: | 1.01 - Izvirni znanstveni članek |
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| Organizacija: |  IJS - Institut Jožef Stefan
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| Povzetek: | 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 multi-criteria decision-making process is still lacking, mainly due to occasionally inconsistent and erroneous execution of methodological steps. To leverage the strengths of both approaches, we also propose a hybrid workflow for DEX model development that begins in the LLM and continues in the specialized DEXiWin software. |
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| Ključne besede: | multi-criteria decision making, DEX method, decision analysis, large language models |
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| Status publikacije: | Objavljeno |
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| Verzija publikacije: | Objavljena publikacija |
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| Datum objave: | 12.01.2025 |
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| Založnik: | Informatika |
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| Leto izida: | 2025 |
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| Št. strani: | str. 633-640 |
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| Številčenje: | Vol. 49, no. 4 |
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| Izvor: | Slovenija |
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| PID: | 20.500.12556/DiRROS-26991  |
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| UDK: | 004.8 |
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| ISSN pri članku: | 1854-3871 |
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| DOI: | 10.31449/inf.v49i4.12884 |
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| COBISS.SI-ID: | 266419971 |
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| Avtorske pravice: | Copyright © Slovenian Society Informatika |
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| Opomba: | Nasl. z nasl. zaslona;
Opis vira z dne 28. 1. 2026;
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| Datum objave v DiRROS: | 28.01.2026 |
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| Število ogledov: | 53 |
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| Število prenosov: | 31 |
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| Metapodatki: |    |
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