@article{article_1722551, title={A Hybrid MCDM Model for Personnel Evaluation: Integrating AHP, Fuzzy TOPSIS and VIKOR with Composite Scoring}, journal={Uygulamalı Mühendislik ve Tarım Dergisi}, volume={2}, pages={44–71}, year={2025}, author={Sarikaya, Hüseyin Ali}, keywords={Hibrit MCDM, Belirsizlik altında personel seçimi, AHP tabanlı kriter ağırlıklandırması, Bulanık TOPSIS–VIKOR füzyonu, Bulanık bileşik sıralama puanı}, abstract={Personnel selection is a vital strategic function for businesses that work in knowledge-intensive and public-facing sectors, such as science centers. Traditional evaluation methodologies frequently fail to capture the inherent ambiguity and subjectivity in candidate assessments. To address these constraints, this study offers a robust hybrid fuzzy multi-criteria decision-making (MCDM) framework that incorporates the Analytic Hierarchy Process (AHP), Fuzzy TOPSIS, and Fuzzy VIKOR. Furthermore, a unique aggregation mechanism known as the Fuzzy Composite Ranking Score (FCRS) is developed to combine the outputs of Fuzzy TOPSIS and Fuzzy VIKOR into a single ranking score that balances proximity to the ideal solution with compromise among conflicting criteria. The proposed methodology was applied to a real-world case study at the Konya Science Center (KSC), where seven full-time and seven part-time candidates were evaluated based on seven criteria. The AHP method was used to derive weights for each criterion through expert pairwise comparisons, which were validated through consistency ratio analysis. Expert linguistic evaluations of candidates were converted into triangular fuzzy numbers and processed through Fuzzy TOPSIS and VIKOR models. The final rankings produced by FCRS demonstrated a high degree of agreement with individual method results while addressing contradictions between them. The results show that the proposed hybrid framework can allow nuanced, transparent, and robust personnel selection decisions in complicated organizational situations. The model is scalable and adaptable to a wide range of decision-making scenarios involving human judgment in uncertain environments.}, number={1}, publisher={Konya Gıda ve Tarım Üniversitesi}