A computational TW3 classifier for skeletal maturity assessment. A Computing with Words approach

  • Aja-Fernández S
  • De Luis-García R
  • Martín-Fernández M
 et al. 
  • 19


    Mendeley users who have this article in their library.
  • 43


    Citations of this article.


This paper proposes a fuzzy methodology to translate the natural language descriptions of the TW3 method for bone age assessment into an automatic classifier. The classifier is built upon a modified version of a fuzzy ID3 decision tree. No large data records are needed to train the classifier, i.e., to find out the classification rules, since the classifier is built upon rules given by the TW3 method. Only small data records are needed to fine-tune the fuzzy sets used to implement the rulebase. © 2004 Elsevier Inc. All rights reserved.

Author-supplied keywords

  • Bone age assessment
  • Fuzzy decision trees
  • Fuzzy granules
  • TW3

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document


Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free