Multiple criteria decision-making techniques and their applications–a review of the literature from 2000 to 2014

A Mardani, A Jusoh, K Nor, Z Khalifah… - Economic research …, 2015 - hrcak.srce.hr
Sažetak Multiple criteria decision-making (MCDM) is considered as a complex decision
making (DM) tool involving both quantitative and qualitative factors. In recent years, several …

[HTML][HTML] Survey, classification and critical analysis of the literature on corporate bankruptcy and financial distress prediction

J Zhao, J Ouenniche, J De Smedt - Machine Learning with Applications, 2024 - Elsevier
Corporate bankruptcy and financial distress prediction is a topic of interest for a variety of
stakeholders, including businesses, financial institutions, investors, regulatory bodies …

Imbalanced enterprise credit evaluation with DTE-SBD: Decision tree ensemble based on SMOTE and bagging with differentiated sampling rates

J Sun, J Lang, H Fujita, H Li - Information Sciences, 2018 - Elsevier
Enterprise credit evaluation model is an important tool for bank and enterprise risk
management, but how to construct an effective decision tree (DT) ensemble model for …

[HTML][HTML] Application of PROMETHEE method for green supplier selection: a comparative result based on preference functions

L Abdullah, W Chan, A Afshari - Journal of Industrial Engineering …, 2019 - Springer
The PROMETHEE is a significant method for evaluating alternatives with respect to criteria
in multi-criteria decision-making problems. It is characterized by many types of preference …

PROMETHEE methods

JP Brans, Y De Smet - Multiple criteria decision analysis: state of the art …, 2016 - Springer
This paper gives an overview of the PROMETHEE-GAIA methodology for MCDA. It starts
with general comments on multicriteria problems, stressing that a multicriteria problem …

Bankruptcy prediction using terminal failure processes

P Du Jardin - European Journal of Operational Research, 2015 - Elsevier
Traditional bankruptcy prediction models, designed using classification or regression
techniques, achieve short-term performances (1 year) that are fairly good, but that often …

[HTML][HTML] A new concordant partial AUC and partial c statistic for imbalanced data in the evaluation of machine learning algorithms

AM Carrington, PW Fieguth, H Qazi, A Holzinger… - BMC medical informatics …, 2020 - Springer
Background In classification and diagnostic testing, the receiver-operator characteristic
(ROC) plot and the area under the ROC curve (AUC) describe how an adjustable threshold …

The application of PROMETHEE multi-criteria decision aid in financial decision making: Case of distress prediction models evaluation

MM Mousavi, J Lin - Expert Systems with Applications, 2020 - Elsevier
Conflicting rankings corresponding to alternative performance criteria and measures are
mostly reported in the mono-criterion evaluation of competing distress prediction models …

An insight into the experimental design for credit risk and corporate bankruptcy prediction systems

V García, AI Marqués, JS Sánchez - Journal of Intelligent Information …, 2015 - Springer
Over the last years, it has been observed an increasing interest of the finance and business
communities in any application tool related to the prediction of credit and bankruptcy risk …

Multicriteria decision aid/analysis in finance

J Spronk, RE Steuer, C Zopounidis - … criteria decision analysis: State of the …, 2016 - Springer
Over the past decades the complexity of financial decisions has increased rapidly, thus
highlighting the importance of developing and implementing sophisticated and efficient …