A BDI Agent System for Credit Risk Assessment based on Fuzzy Logic

Credit risk has always been an important issue for banks and other financial intermediaries. A reliable and consistent computing system is necessary to simplify the decision making process in uncertain domains such as the assessment of credit risk. In recent years fuzzy logic techniques have been in their wide-ranging use in modeling of uncertainties, vagueness, impreciseness and the human thought process. Therefore in this paper we present a fuzzy logic based intelligent system for the assessment of credit risk. It aims at efficiently and intelligently managing the process, handling its complexity, and monitoring large amounts of dynamic information in a distributed way, by using a society of intelligent agents, each carrying out a different function autonomously. The system, developed through the PRACTIONIST framework, helps users to perform both quantitative and qualitative assessment of customers' reliability