| Abstrakt: |
This study analyses, through a multicriteria approach producing if-then rules, the possibility of forecasting the default probability (PD) for low-default portfolios in credit risk assessment. This approach relies on the simultaneous and complementary application of fuzzy and rough sets theories. The calculation of this probability is normally subject to judgments of experts, which imply subjectivity, imprecision and uncertainty of the results. In the proposed approach, the inferred if-then rules for a decision table generated by a simulation of 50 companies allowed the production of a knowledge base for the forecasting of classes of default probabilities. The 'RoughSets®' package, in 'R', was used as support for the analysis and forecasting system. |
