Usage of New Information Estimations for Induction of Fuzzy Decision Trees

Authors:
Vitaly G. Levashenko;Elena N. Zaitseva
Affiliations:
-;-
Venue:
IDEAL '02 Proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning
Year:
2002

Citing 5
Cited 0

Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence

Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Elements of information theory

Elements of information theory
Induction of fuzzy decision trees

Fuzzy Sets and Systems
On the optimization of fuzzy decision trees

Fuzzy Sets and Systems
Functional Entropy and Decision Trees

ISMVL '98 Proceedings of the The 28th International Symposium on Multiple-Valued Logic

Quantified Score

Hi-index	0.00

Visualization

Abstract

We introduce a technique to compute new summary information estimations (information and entropy) for fuzzy sets. Special features for these estimations are investigated. We give an algorithm for determine various information measures for fuzzy sets and fuzzy decision trees. Finally, we are using our estimations for induction of fuzzy decision trees from a group of training examples.