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Journals / International Journal of Intelligent Systems and Applications in Engineering / 2020 / Cilt: 8 - Sayı: 3

Personnel Evaluation Under Intuitionistic Fuzzy Environment

Melda KOKOÇ
Süleyman ERSÖZ
Pages
137–146
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

This study contributes to the literature as it provides a novel insight into the theoreticalground of the personnel selection problem.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this paper, a new approach is proposed to solve multi-person and multi-attribute evaluation problems underan intuitionistic fuzzy environment.
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Key Findings & Data:To illustrate the application of the novel approach, a numerical example for evaluating engineers according to attributes of T-shaped engineers is given.
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Conclusion & Impact:This study contributes to the literature as it provides a novel insight into the theoreticalground of the personnel selection problem.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Özet

In this paper, a new approach is proposed to solve multi-person and multi-attribute evaluation problems underan intuitionistic fuzzy environment. The proposed evaluation approach is mainly grounded on the integration of the score function and aggregation operator for intuitionistic fuzzy sets. To illustrate the application of the novel approach, a numerical example for evaluating engineers according to attributes of T-shaped engineers is given. The novelty of this study is that it defines T-shaped engineer selection as a multi-attribute evaluation problem in the literature for the first time. In addition, it proposes an integrated intuitionistic fuzzy evaluation approach in which the candidates are evaluated at both technical (hard) skills and non-technical (soft) skills. This study contributes to the literature as it provides a novel insight into the theoreticalground of the personnel selection problem.

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Cite This Article

KOKOÇ, M., ERSÖZ, S. (2020). Personnel Evaluation Under Intuitionistic Fuzzy Environment. International Journal of Intelligent Systems and Applications in Engineering, Cilt: 8 - Sayı: 3, 137–146. https://ajindex.com/articles/218203

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References (1)

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