Stochastic multi-criteria decision-making: an overview to methods and applications


ÇELİK E., Gul M., Yucesan M., Mete S.

Beni-Suef University Journal of Basic and Applied Sciences, vol.8, no.1, 2019 (ESCI) identifier identifier

  • Publication Type: Article / Review
  • Volume: 8 Issue: 1
  • Publication Date: 2019
  • Doi Number: 10.1186/s43088-019-0005-0
  • Journal Name: Beni-Suef University Journal of Basic and Applied Sciences
  • Journal Indexes: Emerging Sources Citation Index (ESCI), Scopus
  • Keywords: Stochastic decision-making, Probability, Stochastic dominance, Regret theory, Prospect theory, ANALYTIC HIERARCHY PROCESS, PROSPECT-THEORY, ROUGH APPROXIMATION, PREFERENCE-RELATION, REGRET THEORY, DOMINANCE, MODEL, UNCERTAINTY, PROMETHEE, AHP
  • Istanbul University Affiliated: Yes

Abstract

© 2019, The Author(s).Background: The alternatives selection problem with multi-criteria in stochastic form variables is called as stochastic multi-criteria decision-making. The stochasticity of the criteria is considered using stochastic dominance, prospect theory, and regret theory. Main text: In this paper, a total 61 papers are reviewed and analyzed based on method(s) used in stochastic multi-criteria decision-making problem, method used in stochasticity, specific objective, application area, and so on classification. All papers with respect to classification aspects are examined their real or empirical applications. Moreover, the studies are statistically investigated to present the latest trends of stochastic multi-criteria decision-making. Conclusions: This detailed review study ensures a comprehension for researchers on stochastic multi-criteria decision-making in respect of showing up-to-date literature and potential research areas to be concentrated in the future. It is observed that the stochastic multi-criteria decision-making problem has an attractive approach by researchers.