Generalization Improvement of a Fuzzy Classifier with Pyramidal Membership Functions

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15th International Conference on Pattern Recognition (ICPR'00) - Volume 2

Barcelona, Spain

September 03-September 08

ISBN: 0-7695-0750-6

	ASCII Text	x
	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	x
	@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

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.906050

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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