School project developed for an AI course and entirely made with Matlab
Its goal is to estimate the price of a given building / land in Melbourne, Australia based on a list of samples from that area.
It combines Case Based Reasoning
in order to obtain an accurate estimation. The CBR module uses the samples case base to get a first estimation based on
similar cases (value obtained in Reuse 1) while the FL module uses the geographic location of the building and
its average price plus the average prices of other surrounding locations (value obtained in Reuse 2).
The new case can then be retained in the case base in order to be used as a sample for future estimations.