A fuzzy rule-based system to characterize the profile of an investor

In this work is proposed a fuzzy rule-based system in order to classify the profile of an investor. For this purpose, it is used the plataform GUIDE from MATLAB to build an interactive graphic interface, where the investor answers five questions (which are based on the ANBIMA model) which deal with his/her finances. Once the system has these answers, it presents as output one of the following classifications: conservative investor, moderate investor or bold investor. The system also indicates a suggestion of potentials types of investments that suits better based on the output provided by the system. The results are compared to the ones obtained by the AIP from the Banco Paulista