Proceedings of the Annual Meeting of Biomedical Fuzzy Systems Association : BMFSA
Online ISSN : 2433-1449
4
Conference information
Application of Pattern Recognition to Defuzzification by Neural Networks
Kazutaka MakinoSatoru NakamuraKoujirou FutagamiShun HiguchiToshinobu Aoyama
Author information
CONFERENCE PROCEEDINGS FREE ACCESS

Pages 161-166

Details
Abstract
In most of the Fuzzy Controllers or Fuzzy Inference systems, the center of gravity method is widely used as a defuzzifier method. We can occasionally find that several conclusion patterns in Fuzzy Inference are obviously different each other, although the results from defuzzification show middle and almost equal. Some of their outlines are classified to uni-peak, bi-peak or flat pattern for example, and these three types suggest different meanings respectively. In this study, we discuss new approach in which Neural Networks classify several conclusion patterns into three groups. This method will probably present additional information in medical decision making.
Content from these authors
© 1992 Biomedical Fuzzy Systems Association
Previous article Next article
feedback
Top