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Linguistic Extension for Group Multicriteria Project Manager Selection

Author

Listed:
  • Javad Dodangeh
  • Shahryar Sorooshian
  • Ali Reza Afshari

Abstract

Qualified human resource selection is one of the organizational key success factors. Since choosing the best candidate to fill the defined vacancy in a company is a complex task, intelligence analytical methods would be required to deal with this important issue. Regarding the vagueness and uncertainty of human resource selection process, it requires the linguistic extension of multicriteria decision making (MCDM) models for robust recruitment. This research is aimed to develop a fuzzy MCDM model for linguistic reasoning under new fuzzy group decision making. The new linguistic reasoning for group decision making is able to aggregate subjective evaluation of the decision makers and hence create an opportunity to perform more robust human resource selection procedures. A numerical example demonstrates possibilities for the improvement of human resource management and any other business decision areas through applying the proposed model.

Suggested Citation

  • Javad Dodangeh & Shahryar Sorooshian & Ali Reza Afshari, 2014. "Linguistic Extension for Group Multicriteria Project Manager Selection," Journal of Applied Mathematics, John Wiley & Sons, vol. 2014(1).
    • Handle: RePEc:wly:jnljam:v:2014:y:2014:i:1:n:570398
    DOI: 10.1155/2014/570398
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    References listed on IDEAS

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