Geodesic
A Fuzzy If-Then Rule-Based Nonlinear Classifier
International Journal of Applied Mathematics and Computer Science, Tome 13 (2003) no. 2, pp. 215-223

Voir la notice de l'article provenant de la source Library of Science

This paper introduces a new classifier design method that is based on a modification of the classical Ho-Kashyap procedure. The proposed method uses the absolute error, rather than the squared error, to design a linear classifier. Additionally, easy control of the generalization ability and robustness to outliers are obtained. Next, an extension to a nonlinear classifier by the mixture-of-experts technique is presented. Each expert is represented by a fuzzy if-then rule in the Takagi-Sugeno-Kang form. Finally, examples are given to demonstrate the validity of the introduced method.
Keywords: classifier design, fuzzy if-then rules, generalization control, mixture of experts
Mots-clés : informatyka 
@article{IJAMCS_2003_13_2_a10,
     author = {{\L}\k{e}ski, J.},
     title = {A {Fuzzy} {If-Then} {Rule-Based} {Nonlinear} {Classifier}},
     journal = {International Journal of Applied Mathematics and Computer Science},
     pages = {215--223},
     publisher = {mathdoc},
     volume = {13},
     number = {2},
     year = {2003},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/IJAMCS_2003_13_2_a10/}
}
TY  - JOUR
AU  - Łęski, J.
TI  - A Fuzzy If-Then Rule-Based Nonlinear Classifier
JO  - International Journal of Applied Mathematics and Computer Science
PY  - 2003
SP  - 215
EP  - 223
VL  - 13
IS  - 2
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/IJAMCS_2003_13_2_a10/
LA  - en
ID  - IJAMCS_2003_13_2_a10
ER  - 
%0 Journal Article
%A Łęski, J.
%T A Fuzzy If-Then Rule-Based Nonlinear Classifier
%J International Journal of Applied Mathematics and Computer Science
%D 2003
%P 215-223
%V 13
%N 2
%I mathdoc
%U http://geodesic.mathdoc.fr/item/IJAMCS_2003_13_2_a10/
%G en
%F IJAMCS_2003_13_2_a10
Łęski, J. A Fuzzy If-Then Rule-Based Nonlinear Classifier. International Journal of Applied Mathematics and Computer Science, Tome 13 (2003) no. 2, pp. 215-223. http://geodesic.mathdoc.fr/item/IJAMCS_2003_13_2_a10/