Table 3.

The most commonly used methods in bankruptcy prediction and credit risk assessment.

Method	References	Frequency of usage/bankruptcy or credit risk
PROMETHEE	Chen and Hu (2011); Peng et al. (2011); Vukovic et al. (2012); Doumpos and Zopounidis (2013)	3313/35
ELECTRE	Hu (2009), Li and Sun (2009), Gastelum-Chavira et al. (2017)	3777/49
VIKOR	Yalcin et al. (2012), Alvandi et al. (2013), Farrokh et al. (2016)	2671/22
TOPSIS	Secme et al. (2009), Garc'ia et al. (2010), Mandic et al. (2014), Wanke et al. (2016), Ignatius et al. (2018)	8587/64
Artificial Neural Network (ANN)	Bequé et al. (2017), Son et al. (2019), Tumpach et al. (2020)	177505/564
Support Vector Machine (SVM)	Barboza et al. (2017), Liang et al. (2018), Sun et al. (2018), Feng et al. (2018), Lin et al. (2019), Ribeiro et al. (2019)	214725/387
Logistic Regression (LR)	Bequé et al. (2017), du Jardin (2017), Zelenkov et al. (2017), Chen and Zhou (2018), Lin et al. (2019)	104865/1315
Decision Tree (DT)	Zelenkov et al. (2017), Feng et al. (2018)	259019/1176