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Digital Library of the
European Council for Modelling and Simulation |
Title: |
Performance Evaluation of Fuzzy Rule-Based Systems With
Class Priority For Medical Diagnosis Problems |
Authors: |
Tomoharu
Nakashima, Yasuyuki Yokota, Gerald Schaefer, Hisao Ishibuchi |
Published in: |
ECMS
2007 Proceedings Edited
by: Ivan Zelinka, Zuzana Oplatkova, Alessandra Orsoni ISBN:
978-0-9553018-2-7 Doi: 10.7148/2007 21st European
Conference on Modelling and Simulation, Prague, June
4-6, 2007 |
Citation
format: |
Nakashima, T., Yokota, Y.,
Schaefer, G., & Ishibuchi, H. (2007).
Performance Evaluation of Fuzzy Rule-Based Systems With Class Priority For
Medical Diagnosis Problems. ECMS 2007 Proceedings edited by: I. Zelinka, Z. Oplatkova, A. Orsoni (pp. 283-288).
European Council for Modeling and Simulation. doi:10.7148/2007-0283. |
DOI: |
http://dx.doi.org/10.7148/2007-0283 |
Abstract: |
In
this paper we examine the performance of fuzzy rule-based systems with
classification priority for medical diagnosis problems. The assumption in
this pa- per is that a classification priority is given a priori for each
class in a pattern classification problem. Our fuzzy rule- based system
consists of a set of fuzzy if-then rules that are automatically generated
from a set of given training pat- terns. The consequent class
of fuzzy if-then rules are de- cided based
on the number of covered training patterns for each class. We apply the fuzzy
classifier with class prior- ity to two medical
diagnosis problems: appendix diagnosis and breast cancer diagnosis, and
compare its performance with that of a conventional fuzzy rule-based systems. |
Full
text: |