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  3. Vol. 8 No. 2 (2004)
  4. PATTERN RECOGNITION OF SACROILEITIS WITH THE USE OF MULTISTAGE LOGIC WITH A FUZZY LOSS FUNCTION

PATTERN RECOGNITION OF SACROILEITIS WITH THE USE OF MULTISTAGE LOGIC WITH A FUZZY LOSS FUNCTION

Abstract

The article describes the problem of pattern recognition of sacroileitis. Classification is based on a scheme of multistage recognition with a fuzzy loss function dependent on the node of the decision tree. Decision rules are based on k-nearest neighbors at particular internal nodes of the decision-tree. Paper presents influence of comparison fuzzy numbers on classifications results.

Keywords:

multistage classifier, sacroileitis, fuzzy loss function, k-nearest neighbor method

Details

Issue
Vol. 8 No. 2 (2004)
Section
Research article
Published
2004-06-30
Licencja:
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors

ROBERT BURDUK

Department of Systems and Computer Networks, Faculty of Electronics, Wroclaw University of Technology, Wyb. Wyspiańskiego 27, 50-370 Wroclaw, Poland

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