Solving the sales prediction problem with fuzzy evolving methods

This paper presents the solving of the petrol sales volume estimation problem given by the Task Force on Competitions, Fuzzy Systems Technical Committee IEEE Computational Intelligence Society. The solution using eTS, SAFIS and eFuMo method is presented. The results are compared to linear ARX model identified using RLS method. Results using static and prediction model are given. The paper also presents parts of new eFuMo method, which is based on recursive Gustafson-Kessel clustering.