Logical data analysis vs. neural networks in the creditworthiness

Statistics, Operations Research and Artificial Intelligence are often used to identify the factors that influence certain phenomena of real life based on samples of data. In the variety of data analysis techniques suggested by these disciplines, the classification capability of Logical Analysis of CORRETTOv: Data Data, proposed by Hammer in [12], is compared to the neural networks in the well-known financial classification problem of insolvency.