Abstract

BackgroundThe 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 textIn 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.ConclusionsThis 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.

Highlights

  • In this paper, a total 61 papers are reviewed and analyzed based on method(s) used in stochastic multicriteria decision-making problem, method used in stochasticity, specific objective, application area, and so on classification

  • This detailed review study ensures a comprehension for researchers on stochastic multi-criteria decisionmaking 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

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Summary

Main text

A total 61 papers are reviewed and analyzed based on method(s) used in stochastic multicriteria 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. The studies are statistically investigated to present the latest trends of stochastic multi-criteria decision-making

Conclusions
Background
Method
The fundamentals of SMCDM
Stochastic dominance
Stochastic outranking methods and applications PROMETHEE method was proposed by
Others Some papers are not compatible with subtitle as RT, SD degree, and etc
Classification of papers
Discussion and future remarks
Conclusion
Full Text
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