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

Cumali Kılıç; Orhan Balcı; Gönül Gül

Research Article

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

Year 2025, Volume: 10 Issue: 1, 227 - 247, 30.06.2025

Cumali Kılıç , Orhan Balcı , Gönül Gül

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

Artificial intelligence, Decision making, Personnel selection, Fuzzy AHP-TOPSIS

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Karar Verme Karmaşıklığının Çözülmesi: Yapay Zekâ ile Bulanık AHP-TOPSIS Karşılaştırması

Year 2025, Volume: 10 Issue: 1, 227 - 247, 30.06.2025

Cumali Kılıç , Orhan Balcı , Gönül Gül

Abstract

Bilgi çağının gelişimi ve üretim süreçlerinin otomasyonunun artmasıyla birlikte yöneticiler karar alma ve planlama faaliyetlerini desteklemek için giderek daha fazla gelişmiş bilgi sistemlerine yönelmektedir. Bu sistemlerin en yeni ve dikkat çekici örneklerden biri ise ileri düzey bir sohbet botu olan ChatGPT’dir. Bu bağlamda araştırma, geleneksel bir çok kriterli karar verme yöntemi olan bulanık AHP-TOPSIS ile yapay zeka tabanlı karar verme yaklaşımlarının karşılaştırmalı bir analizini sunmaktadır. Bu yönüyle çalışma, her iki yöntemi bir araya getirerek örgütsel karar verme kalitesini artırmayı amaçlayan yeni bir çerçeve geliştirmeyi amaçlamaktadır. Ayrıca, işe alım kararlarına odaklanarak ChatGPT tarafından üretilen çıktıları geleneksel yöntemlerle karşılaştırmaktadır. Araştırma bulguları neticesinde, ChatGPT gibi yapay zeka tabanlı sistemlerin geleneksel çok kriterli karar verme yöntemlerine göre daha isabetli kararlar verdiğine ulaşılmıştır. Dahası, yapay zeka tarafından verilen kararların, şirketin halihazırda yaptığı seçimlerle büyük ölçüde uyum sağlayarak tahmin doğruluğunu ve işe alım süreçlerini optimize etme potansiyelini gözler önüne sermektedir.

Keywords

Yapay zekâ, Karar verme, Personel seçimi, Bulanık AHP-TOPSIS

References

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Afshari, R. A., Nikolic, M., & Cockalo, D. (2014).Applications of fuzzy decision making for personnel selection problem: A review. Journal of Engineering Management and Competitiveness (JEMC), 4(2), 68-77. https://doi.org/10.5937/jemc1402068A
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Primary Language	English
Subjects	Innovation Management
Journal Section	Research Article
Authors	Cumali Kılıç 0000-0003-1564-1938 Orhan Balcı 0000-0002-8098-653X Gönül Gül 0000-0002-7757-0437
Early Pub Date	May 27, 2025
Publication Date	June 30, 2025
Submission Date	September 25, 2024
Acceptance Date	February 8, 2025
Published in Issue	Year 2025 Volume: 10 Issue: 1

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APA	Kılıç, C., Balcı, O., & Gül, G. (2025). Unraveling Decision-Making Complexity: Artificial Intelligence versus Fuzzy AHP-TOPSIS. JOEEP: Journal of Emerging Economies and Policy, 10(1), 227-247.

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