Multi-criteria decision analysis (MCDA) is a valuable resource within operations research
and management science. Various MCDA methods have been developed over the years …

As a hot topic, financial distress prediction (FDP), or called as corporate failure prediction,
bankruptcy prediction, acts as an important role in decision-making of various areas …

Nowadays, many current real financial applications have nonlinear and uncertain behaviors
which change across the time. Therefore, the need to solve highly nonlinear, time variant …

For financial institutions, the ability to predict or forecast business failures is crucial, as
incorrect decisions can have direct financial consequences. Bankruptcy prediction and …

In the design of a financial bankruptcy prediction model, financial ratio selection and
classifier design play major roles. Methodology based on expert opinion, statistical theory …

Finance is a popular field for applied and methodological research involving multiple criteria
decision aiding (MCDA) techniques. In this study we present an up-to-date bibliographic …

We propose preference learning algorithms for inferring the parameters of a threshold-
based sorting model from large sets of assignment examples. The introduced framework is …

Corporate credit ratings are widely used in financial services for risk management,
investment, and financing decisions. In this study, the use of a recently developed …

The influence of Artificial Intelligence is growing, as is the need to make it as explainable as
possible. Explainability is one of the main obstacles that AI faces today on the way to more …

Credit classification is an important component of critical financial decision making tasks
such as credit scoring and bankruptcy prediction. Credit classification methods are usually …