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Multicriteria Personnel Selection by the Modified Fuzzy VIKOR Method.

Rasim M Alguliyev1, Ramiz M Aliguliyev1, Rasmiyya S Mahmudova1

  • 1Institute of Information Technology, Azerbaijan National Academy of Sciences, 9 B. Vahabzade Street, AZ1141 Baku, Azerbaijan.

Thescientificworldjournal
|October 31, 2015
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Summary

This study introduces a novel fuzzy hybrid multicriteria decision-making (MCDM) model for personnel evaluation. The modified fuzzy VIKOR method offers computational advantages and improved performance over the standard fuzzy VIKOR technique.

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Area of Science:

  • Human Resource Management
  • Decision Science
  • Fuzzy Logic

Background:

  • Personnel evaluation is complex due to multicriteria and mixed-factor (qualitative/quantitative) nature.
  • Existing methods may not adequately handle the inherent uncertainty and linguistic vagueness in evaluations.

Purpose of the Study:

  • To propose a fuzzy hybrid multicriteria decision-making (MCDM) model for personnel evaluation.
  • To introduce a modified fuzzy VIKOR method to enhance the ranking and selection process.
  • To compare the performance of the modified fuzzy VIKOR with the standard fuzzy VIKOR method.

Main Methods:

  • Developed a fuzzy hybrid MCDM model using triangular fuzzy numbers for criteria and weights.
  • Employed approximate reasoning for linguistic values within a fuzzy environment.
  • Calculated criteria weights using the worst-case method.
  • Applied both fuzzy VIKOR and a novel modified fuzzy VIKOR for ranking personnel alternatives.

Main Results:

  • The modified fuzzy VIKOR method demonstrated effectiveness and computational advantages.
  • A comparative analysis revealed that the modified fuzzy VIKOR offers a higher acceptable advantage over the fuzzy VIKOR method.
  • The study successfully ranked and selected the best personnel alternatives.

Conclusions:

  • The proposed modified fuzzy VIKOR method is a valuable enhancement for personnel evaluation in fuzzy environments.
  • This approach provides a more effective and computationally efficient solution compared to traditional fuzzy VIKOR.
  • The model facilitates improved decision-making in human resource management through robust personnel selection.