Journal of Applied Mathematics

  • J. Appl. Math.
  • Volume 2014, Special Issue (2014), Article ID 570398, 8 pages.

Linguistic Extension for Group Multicriteria Project Manager Selection

Javad Dodangeh, Shahryar Sorooshian, and Ali Reza Afshari

Full-text: Open access

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.

Article information

Source
J. Appl. Math., Volume 2014, Special Issue (2014), Article ID 570398, 8 pages.

Dates
First available in Project Euclid: 27 February 2015

Permanent link to this document
https://projecteuclid.org/euclid.jam/1425050740

Digital Object Identifier
doi:10.1155/2014/570398

Zentralblatt MATH identifier
07010682

Citation

Dodangeh, Javad; Sorooshian, Shahryar; Afshari, Ali Reza. Linguistic Extension for Group Multicriteria Project Manager Selection. J. Appl. Math. 2014, Special Issue (2014), Article ID 570398, 8 pages. doi:10.1155/2014/570398. https://projecteuclid.org/euclid.jam/1425050740


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