Algorithm of Maximizing the Set of Common Solutions for Several MCDM Problems and it’s Application for Security Personnel Scheduling

  • Stanislav Dadelo Vilnius Gediminas Technical University Sauletekio al. 11, LT-10223 Vilnius, Lithuania
  • Aleksandras Krylovas Vilnius Gediminas Technical University Sauletekio al. 11, LT-10223 Vilnius, Lithuania
  • Natalja Kosareva Vilnius Gediminas Technical University Sauletekio al. 11, LT-10223 Vilnius, Lithuania
  • Edmundas Kazimieras Zavadskas Vilnius Gediminas Technical University Sauletekio al. 11, LT-10223 Vilnius, Lithuania
  • Ruta Dadeliene Lithuanian University of Educational Sciences

Abstract

The article deals with the task of elite selection of private security personnel on the basis of objective and subjective criteria. One of the possible solutions of this multiple criteria decision making (MCDM) problem is creation of heuristics allowing to minimize discrepancy of ranks calculated for the objective and subjective criteria on the basis of the best security staff. The proposed heuristic combines interval points re-selection and random points generation methods. Two optimizing algorithms are proposed. It is shown how this method is applied for solving specific task of elite selection from security personnel.

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Published
2014-02-28
How to Cite
DADELO, Stanislav et al. Algorithm of Maximizing the Set of Common Solutions for Several MCDM Problems and it’s Application for Security Personnel Scheduling. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, [S.l.], v. 9, n. 2, p. 151-159, feb. 2014. ISSN 1841-9844. Available at: <http://univagora.ro/jour/index.php/ijccc/article/view/1015>. Date accessed: 04 july 2020. doi: https://doi.org/10.15837/ijccc.2014.2.1015.

Keywords

preference feature, multiple criteria decision making, heuristics, optimizing algorithm