Modelling the expert’s preferences in decision-making under complete uncertainty

Authors

  • Dmytro Bugas O. M. Beketov National University of Urban Economy in Kharkiv Revolyutsiy str., 12, Kharkiv, Ukraine, 61000, Ukraine

DOI:

https://doi.org/10.15587/1729-4061.2016.81306

Keywords:

decision-making criteria, Hurwitz alpha-test, uncertainty, expert assessment

Abstract

The object of the research is the formalized problem of decision-making under conditions of complete uncertainty of the external environment, whereas the subject of the research is decision-making criteria. The aim is to ensure the effectiveness of managerial decisions by widening the spectrum of mathematical models of the criteria for their selection. The study considers classical and derivative criteria for decision-making under conditions of complete uncertainty. We have suggested a three-parameter mathematical model of the Hurwitz criterion, which, in contrast to the classical model, makes analytical use of the number of conditions of the external environment (the dimension/scope of the problem) and considers the extent of its influence on the decision-maker’s preferences in making decisions. The developed research instrument can be used in the procedures of a group or individual expert assessment of the efficiency of managerial decisions. The advantages of the proposed model include its ability to retain the form of the parameters’ interrelation, regardless of the correction of the initial hypotheses. The maximum effect of its use can occur during a multiple group or individual expert assessment, when the calibration of subjective preferences of an expert is particularly important.

Author Biography

Dmytro Bugas, O. M. Beketov National University of Urban Economy in Kharkiv Revolyutsiy str., 12, Kharkiv, Ukraine, 61000

PhD, Senior Researcher

Department of organization of state budget is the contractual robot research part

References

  1. Samojlenko, N. I., Pogrebnyak, B. I., Kostenko, A. B., Bugas, D. N. (2015). Osnovnye napravleniya razvitiya sovremennyh informacionnyh tekhnologij. Komunal'ne gospodarstvo mіst, 121, 74–79.
  2. Tambovcev, V. L. (2010). Strategicheskaya teoriya firmy: sostoyanie i vozmozhnoe razvitie. Rossijskij zhurnal menedzhmenta, 8 (1), 5–40.
  3. Bottura, C., Costa, E. (2006). The Strategic Games Matrix (SGM) as a new tool for strategic management via game theory. Sistemas & Gestão, 1 (1), 17–41.
  4. Moulin, H. (1991). Axioms of Cooperative Decision Making. Cambridge University Press, 332.
  5. Golik, E. S. (2002). Matematicheskie metody sistemnogo analiza i teorii prinyatiya reshenij: uchebnoe posobie. Part 2. SPb.: Izd-vo SZTU, 100.
  6. Labsker, L. G. (2001). Obobshchennyj kriterij pessimizma-optimizma Gurvica. Finansovaya matematika, 401–414.
  7. Lega, Yu. G., Zlatkin, A. A. (2007). Postroenie L-kriteriev i ih primenenie v zadachah prinyatiya udovletvoritel'nyh reshenij v neopredelennyh usloviyah. Vіsnik CHDTU, 1, 27–34.
  8. Blank, I. A. (2005). Upravlenie finansovymi riskami. Kyiv: Nika-Centr, 600.
  9. Vrana, I., Aly, S., Vanicek, J. (2010). Logical and Decisive Combining Criterion for Binary Group Decision Making. Journal of Systems Integration, 1 (1-2), 43–53.
  10. Nazari, I., Vakil Alroaia, Y., Bahraminasab, S. (2012). An application of multiple criteria decision-making techniques for ranking different national Iranian oil refining and distribution companies. Management Science Letters, 2 (7), 2341–2346. doi: 10.5267/j.msl.2012.08.009
  11. Sirotenko, M. A., Timchuk, S. A. (2015). Optimizaciya sredstv povysheniya nadyozhnosti nerezerviruemoj raspredelitel'noj seti 10 KV v usloviyah neopredelyonnosti. Energetika ta komp'yuterno-іntegrovanі tekhnologіi v APK, 1, 64–66.
  12. Crnčan, A. (2016). Multiple criteria decision making in strategic planning of table egg production. Poljoprivreda, 22 (1), 56–56. doi: 10.18047/poljo.22.1.11
  13. Karlsson, L., Juslin, P., Olsson, H. (2008). Exemplar-based inference in multi-attribute decision making. Judgment and Decision Making, 3, 244–260.
  14. Gaspars-Wieloch, H. (2014). The Use of a Modification of the Hurwicz’s Decision Rule in Multicriteria Decision Making under Complete Uncertainty. Business, Management and Education, 12 (2), 283–302. doi: 10.3846/bme.2014.242
  15. Ioan, C. (2015). A New Approach to Utility Function. Acta Universitatis Danubius: Oeconomica, 11 (2), 194–223.

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Published

2016-10-30

How to Cite

Bugas, D. (2016). Modelling the expert’s preferences in decision-making under complete uncertainty. Eastern-European Journal of Enterprise Technologies, 5(4 (83), 12–17. https://doi.org/10.15587/1729-4061.2016.81306

Issue

Section

Mathematics and Cybernetics - applied aspects