Unraveling Decision-Making Complexity: Artificial Intelligence versus Fuzzy AHP-TOPSIS

Authors : Cumali Kılıç, Orhan Balcı, Gönül Gül

Pages : 227-247

View : 75 | Download : 102

Publication Date : 2025-06-30

Article Type : Research Paper

Abstract :In the era of the information age and increasing automation of production processes, managers are increasingly relying on advanced information systems to support their decision-making and planning activities. Among these systems, the emergence of chatbots—specifically ChatGPT, a state-of-the-art conversational agent—represents a significant development. This research presents a comparative analysis of fuzzy AHP-TOPSIS, a traditional MCDM, and AI-based decision-making approaches. A novel framework integrating both methods has been developed to enhance the quality of organizational decision-making. The study focuses on recruitment decisions, comparing outputs generated by ChatGPT with those derived from traditional approaches. Findings reveal that artificial intelligence, as demonstrated by ChatGPT, delivers more accurate and reliable decisions than conventional MCDM’s. Moreover, these AI-generated decisions align closely with the actual selections made by the organization, showcasing their predictive accuracy and potential to optimize recruitment processes.
Keywords : Yapay zekâ, Karar verme, Personel seçimi, Bulanık AHP-TOPSIS

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