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A New Fuzzy Hybrid Multi-Criteria Decision-Making Approach to Solve Personnel Assessment Problems. Case Study: Director Selection for Estates and Economy Office

Author

Listed:
  • Zenonas TURSKIS

    (Vilnius Gediminas Technical University, Vilnius, Lithuania)

  • Violeta KERŠULIENĖ

    (Vilnius Gediminas Technical University, Vilnius, Lithuania)

  • Irina VINOGRADOVA

    (Vilnius Gediminas Technical University, Vilnius, Lithuania)

Abstract

Personal selection is known as one of the most important parts of human resource management. Economic performance of organisations depends on effective and proper management. Hybrid fuzy multi-criteria decision-making approachpresented in the paper take into consideration the quantitative or objective criteria but also the ones appear to be qualitative or subjective. Such methods are mainly designed to evaluate and compare alternatives, are independent of the assessment models that are used (since they are mainly based on expert judgement), and therefore represent a practical tool to assist decision-making in complex projects.

Suggested Citation

  • Zenonas TURSKIS & Violeta KERŠULIENĖ & Irina VINOGRADOVA, 2017. "A New Fuzzy Hybrid Multi-Criteria Decision-Making Approach to Solve Personnel Assessment Problems. Case Study: Director Selection for Estates and Economy Office," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 51(3), pages 211-229.
    • Handle: RePEc:cys:ecocyb:v:50:y:2017:i:3:p:211-229
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    References listed on IDEAS

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    1. Violeta Keršulienė & Zenonas Turskis, 2014. "A hybrid linguistic fuzzy multiple criteria group selection of a chief accounting officer," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 15(2), pages 232-252, April.
    2. Edmundas Kazimieras Zavadskas & Povilas Vainiūnas & Zenonas Turskis & Jolanta Tamošaitienė, 2012. "Multiple Criteria Decision Support System For Assessment Of Projects Managers In Construction," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 11(02), pages 501-520.
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    Cited by:

    1. Raimonda BublienÄ— & Irina Vinogradova & Manuela TvaronaviÄ ienÄ— & Salvatore Monni, 2019. "Legal form determination for the development of clusters' activities," Insights into Regional Development, VsI Entrepreneurship and Sustainability Center, vol. 1(3), pages 244-258, September.

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    More about this item

    Keywords

    personnel selection; fuzzy multi-criteria decision-making; MCDM; hybrid; Delphi; AHP; ARAS-F; EDAS-F.;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation
    • M54 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Labor Management
    • D79 - Microeconomics - - Analysis of Collective Decision-Making - - - Other
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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