New KEMIRA method for determining criteria priority and weights in solving MCDM problem

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

Research output: Contribution to journalArticle

48 Citations (Scopus)

Abstract

This study presents a new KEmeny Median Indicator Ranks Accordance (KEMIRA) method for determining criteria priority and selection criteria weights in the case of two separate groups of criteria for solving multiple criteria decision making (MCDM) problem. Kemeny median method is proposed to generalize experts' opinion. Medians are calculated applying three different measure functions. Criteria weights are calculated and alternatives ranking accomplished by solving optimization problem - minimization of ranks discrepancy function calculated for two groups of criteria. A numerical example for solving specific task of elite selection from security personnel is given to illustrate the proposed method.

Original languageEnglish
Pages (from-to)1119-1133
Number of pages15
JournalInternational Journal of Information Technology and Decision Making
Volume13
Issue number6
DOIs
Publication statusPublished - Nov 16 2014

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Decision making
Personnel

Keywords

  • Kemeny median
  • multiple criteria decision making
  • optimizing algorithm
  • preference feature

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

Cite this

New KEMIRA method for determining criteria priority and weights in solving MCDM problem. / Krylovas, Aleksandras; Zavadskas, Edmundas Kazimieras; Kosareva, Natalja; Dadelo, Stanislav.

In: International Journal of Information Technology and Decision Making, Vol. 13, No. 6, 16.11.2014, p. 1119-1133.

Research output: Contribution to journalArticle

Krylovas, Aleksandras ; Zavadskas, Edmundas Kazimieras ; Kosareva, Natalja ; Dadelo, Stanislav. / New KEMIRA method for determining criteria priority and weights in solving MCDM problem. In: International Journal of Information Technology and Decision Making. 2014 ; Vol. 13, No. 6. pp. 1119-1133.
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