Szczegóły publikacji
Opis bibliograficzny
Automatic identification of fuzzy models with modified Gustafson-Kessel clustering and least squares optimization methods / Grzegorz GŁOWATY // W: Computational Science – ICCS 2008 : 8th International Conference : Kraków, Poland, June 23–25, 2008 : proceedings, Pt. 1 / eds. Marian Bubak, Geert Dick van Albada, Jack Dongarra, Peter M. A. Sloot. — Berlin ; Heidelberg : Springer-Verlag, cop. 2008 + CD-ROM. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 5101). — Dołączony CD-ROM zawiera pełne teksty referatów z pt. 1, pt. 2, pt. 3. — ISBN: 978-3-540-69383-3; ISBN: 3-540-69383-1; e-ISBN: 978-3-540-69384-0. — S. 883–892. — Bibliogr. s. 892, Abstr.
Autor
Dane bibliometryczne
| ID BaDAP | 40265 |
|---|---|
| Data dodania do BaDAP | 2008-09-25 |
| Rok publikacji | 2008 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Czasopisma/serie | Theoretical Computer Science and General Issues, Lecture Notes in Computer Science |
Abstract
An automated method to generate fuzzy rules and membership functions from a set of sample data is presented. Our method is based on clustering and uses a modified version of Gustafson-Kessel algorithm. The aim is to divide a product space into set of clusters for which the systems exhibits behavior close to linear. For each of the clusters we produce a fuzzy rule and generate a set of membership functions for the rule antecedent with use of an approach based on curve fitting. Weighted linear least-squares regression is used to obtain consequent functions for TSK-models.