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Multiple criteria assessment of elite security personal on the basis of ARAS and Expert methods

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ece_Vol46_No4_65-87_Dadelo.pdf (540.2Kb)
Date
2012
Author
Dadelo, Stanislavas
Turskis, Zenonas
Zavadskas, Edmundas Kazimieras
Dadelienė, Rūta
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Abstract
The philosophy of decision-making in personnel selection is to assess and select the most preferable solution, implement it and gain the maximum profit. Understanding of the multiple criteria method and knowledge of calculation algorithm of the method allow the decision maker to trust the solutions offered by solution support systems to a greater extent. It is the crucial task which directs the company’s present and future. This paper presents a model for personnel assessment and ranking, which is based on expert evaluation method to determine criteria weights and on additive ratio assessment (ARAS) method to aggregate criteria values. The set of criteria is determined by leading security managers. They are as follows: theoretical and practical training – length of service in defence structure (years); professional activity – professional knowledge (number of mistakes made in professional questioning test) (units); mental qualities – aggressiveness–fighting capacity (units); physical development – circumference of chest; motor skills – measurement of speed, measurement of cardio respiratory condition, measurement of strength, the physical development rates are summarized; and fighting skills – the Sumo wrestling is the efficiency ratio. This methodology can help personnel managers to determine and localize problems of personnel, to enhance motivation and versatility of decisions. The criteria values of persons were determined based on Dadelo’s methodology. ARAS method was applied to aggregate criteria values, to rank and assess personnel. The problem solution results were visualized as diagrams showing most problematic areas and performance level of each person.
Issue date (year)
2012
URI
https://etalpykla.vilniustech.lt/handle/123456789/139078
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  • Straipsniai Web of Science ir/ar Scopus referuojamuose leidiniuose / Articles in Web of Science and/or Scopus indexed sources [7946]

 

 

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