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15th International Conference on Pattern Recognition (ICPR'00) - Volume 2
Generalization Improvement of a Fuzzy Classifier with Pyramidal Membership Functions
Barcelona, Spain
September 03-September 08
ISBN: 0-7695-0750-6
ASCII Text
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Shigeo Abe, "Generalization Improvement of a Fuzzy Classifier with Pyramidal Membership Functions," Pattern Recognition, International Conference on, vol. 2, pp. 2211, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 2, 2000.
 
 
BibTex
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@article{ 10.1109/ICPR.2000.906050,
author = {Shigeo Abe},
title = {Generalization Improvement of a Fuzzy Classifier with Pyramidal Membership Functions},
journal ={Pattern Recognition, International Conference on},
volume = {2},
year = {2000},
isbn = {0-7695-0750-6},
pages = {2211},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.906050},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Generalization Improvement of a Fuzzy Classifier with Pyramidal Membership Functions
SN - 0-7695-0750-6
SP
EP
A1 - Shigeo Abe,
PY - 2000
VL - 2
JA - Pattern Recognition, International Conference on
ER -
 
Shigeo Abe, Kobe University
In this paper, we discuss a fuzzy classifier with pyramidal membership functions and discuss a performance improvement by changing linear membership functions to quadratic membership functions. First, we define the classifier with quadratic membership functions and then discuss the training method that maximizes the recognition rate by counting the net increase in the recognition rate by changing the slope and the center of each membership function. Finally, we demonstrate the recognition improvement by quadratic membership functions for the iris and blood cell data sets.
Citation:
Shigeo Abe, "Generalization Improvement of a Fuzzy Classifier with Pyramidal Membership Functions," icpr, vol. 2, pp.2211, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 2, 2000
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