A Fuzzy Analytical Hierarchy Process Application in Personnel Selection in IT Companies: A Case Study in a Spin-off Company

• Authors: M. Bilgehan Erdem
• Languages of publication: EN

Abstracts

EN

Personnel selection is a strategic decision in knowledge-intense enterprises. Choosing the right qualified labor is crucial for IT companies. While evaluating the possible candidates for required positions, many aspects should be considered, such as technical skills, individual skills, etc. Multi-criteria decision making methods give supportive solutions for problems involving multi-dimensional human judgment. Human decisions mostly exhibit gradual judgment, vagueness and imprecision. Fuzzy set theory is a fundamental tool to develop models with uncertainty and relativity. This study aims to build a fuzzy analytical hierarchy process method for personnel selection in IT companies. A case study in a spin-off IT company in Sakarya University, Technology Development Zone was conducted to acquire empirical evidence. Furthermore the proposed study provides a decision support system for human resource departments to relax personnel selection problem.

Keywords

EN

02.50.Le; 07.05.Mh

Discipline

• 02.50.Le: Decision theory and game theory
• 07.05.Mh: Neural networks, fuzzy logic, artificial intelligence

• Publisher: Institute of Physics, Polish Academy of Sciences
• Journal: Acta Physica Polonica A
• Year: 2016
• Volume: 130
• Issue: 1
• Pages: 331-334

Dates

published

2016-07

Contributors

author

M. Bilgehan Erdem

• Sakarya University Department of Industrial Engineering, Sakarya, Turkey

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Identifiers

DOI

10.12693/APhysPolA.130.331