  This paper deals with the problem of forecast the Logistic Chaotic Map using
Fuzzy Times Series (FTS). Chaotic Systems are very sensible to changes in its
parameters and in the initial conditions, turning them into hard systems to
model and forecast. In this case, we relay in the robustness of Fuzzy Time
Series to model and forecast the logistic map. We use the Akaike Information
Criterion (AIC) as an index to determine the number of sub intervals for the
definition of the fuzzy set.
