DocumentCode
3647752
Title
Solving the sales prediction problem with fuzzy evolving methods
Author
Dejan Dovžan;Vito Logar;Igor Škrjanc
Author_Institution
Faculty of Electrical Engineering, University of Ljubljana, Trž
fYear
2012
fDate
6/1/2012 12:00:00 AM
Firstpage
1
Lastpage
8
Abstract
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.
Keywords
"Vectors","Mathematical model","Petroleum","Covariance matrix","Merging","Marketing and sales","Clustering algorithms"
Publisher
ieee
Conference_Titel
Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on
ISSN
1098-7584
Print_ISBN
978-1-4673-1507-4
Type
conf
DOI
10.1109/FUZZ-IEEE.2012.6250808
Filename
6250808
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