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Table 1 Summary of relevant studies on MCDM methods

From: Using ELECTRE-TRI and FlowSort methods in a stock portfolio selection context

References

Applied methods

Basis of analysis

Parkan and Wu (2000)

OCRA, AHP, and DEA

Size of the problem, computational ease, flexibility, and adaptability

Thor et al. (2013)

AHP, ELECTRE, SAW, and TOPSIS

Consistency, problem structure, concept, core process, and the accuracy of final results

Hodgett (2016)

AHP, MARE, and ELECTRE

Final results

Mulliner et al. (2016)

WPM, WSM, revised AHP, AHP, TOPSIS, and COPRAS

Final results

Asgharizadeh et al. (2019)

SAW, ELECTRE, TOPSIS, ORESTE, PROMETHEE I, EVAMIX, MAUT, REGIME, MAPPAC, TACTIC, VIKOR, ARGUS, COPRAS, SMART, PACMAN, MOORA, and ARAS

Simplicity in learning and developing, speed, complexity of calculations, the number of inputs, the quality of the underlying logic, the quality of ranking, and the rate of growth in large problems

Ameri et al. (2018)

SAW, TOPSIS, VIKOR, and compound factor (CF)

Percentages of change

Vakilipour et al. (2021)

SAW, TOPSIS, VIKOR, and ELECTRE

Correlation and stability