Customer habit analysis in an e-commerce system using soft computing based methods

There are numerous trading systems in use today that are focused on profiling the customers, so they can adapt to their expectations. The presented system in this article works on similar principles. Its primary goal is to examine how the events affect each other, so it can create a list related to the search. Soft computing methods are used to create the profile. The first profile is created from the user´s nature and habits which changes (evolves) after further activities. The events´ attitude towards each other are examined using the Frank operator. Finally, the connection of the available information is represented, using a cognitive map.