METHOD FOR THE CLASSIFICATION OF DEBTOR CLIENTS BY MINIMISING ENTROPY

摘要

The invention relates to a method for the evolutionary identification of debtor client classification attributes that can predict payment probability, and for establishing different efficient client attention strategies for clients with different profiles. The method uses decision trees for identifying attributes that have a higher weighting in a client's payment probability distribution, as well as the generation of protocols relating to different attention strategies for clients with different behavioural profiles and different amounts of debt.