Personnel ranking and selection problem solution by application of KEMIRA method

Natalja Kosareva, Edmundas Kazimieras Zavadskas, Aleksandras Krylovas, Stanislav Dadelo

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

In this study KEmeny Median Indicator Rank Accordance (KEMIRA) method is applied for solving personnel ranking and selection problem when there are two subgroups of evaluating criteria. Each stage of KEMIRA method illustrated with the examples. In the first stage Kemeny median method is applied to generalize experts' opinions for setting criteria priorities. Medians were calculated for all experts opinions generalization and for experts majority opinions generalization. In the second stage criteria weights calculated and alternatives ranking accomplished simultaneously by Indicator Rank Accordance method. The obtained solutions compared with the results received in previous work of authors.

Original languageEnglish
Pages (from-to)51-66
Number of pages16
JournalInternational Journal of Computers, Communications and Control
Volume11
Issue number1
Publication statusPublished - 2016
Externally publishedYes

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Personnel

Keywords

  • Criteria priority
  • Kemeny median
  • Multiple criteria decision making
  • Optimization problem

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Computer Science Applications

Cite this

Personnel ranking and selection problem solution by application of KEMIRA method. / Kosareva, Natalja; Zavadskas, Edmundas Kazimieras; Krylovas, Aleksandras; Dadelo, Stanislav.

In: International Journal of Computers, Communications and Control, Vol. 11, No. 1, 2016, p. 51-66.

Research output: Contribution to journalArticle

Kosareva, Natalja ; Zavadskas, Edmundas Kazimieras ; Krylovas, Aleksandras ; Dadelo, Stanislav. / Personnel ranking and selection problem solution by application of KEMIRA method. In: International Journal of Computers, Communications and Control. 2016 ; Vol. 11, No. 1. pp. 51-66.
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