Title :
Choice of a method for the construction of fuzzy decision trees
Author :
Marsala, Christophe ; Bouchon-Meunier, Bernadette
Author_Institution :
Univ. Pierre et Marie Curie, Paris, France
Abstract :
This paper is concerned with methods of construction of fuzzy decision trees and the choice of such a method the user has to make. The main differences between methods lies in the choice of the measure of discrimination that enables the ranking of attributes during the construction step. In this paper, a formal study of the main differences between measures is done. The aim is to highlight the major properties of the fuzzy decision trees constructed by a particular method.
Keywords :
decision trees; entropy; fuzzy set theory; learning by example; attributes ranking; classification ambiguity; discrimination measure; entropy of fuzzy events; fuzzy decision trees; inductive learning; tree construction methods; Artificial intelligence; Decision trees; Entropy; Fuzzy sets; Partitioning algorithms; Testing;
Conference_Titel :
Fuzzy Systems, 2003. FUZZ '03. The 12th IEEE International Conference on
Print_ISBN :
0-7803-7810-5
DOI :
10.1109/FUZZ.2003.1209429
