Paper Info
Title
Usage of New Information Estimations for Induction of Fuzzy Decision Trees
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.
Year
DOI
Venue
2002
10.1007/3-540-45675-9_74
IDEAL
Keywords
Field
DocType
training example,fuzzy decision tree,fuzzy set,fuzzy decision trees,various information measure,new summary information estimation,new information estimations,special feature
Information Fuzzy Networks,Data mining,Neuro-fuzzy,Fuzzy classification,Defuzzification,Fuzzy set operations,Computer science,Fuzzy set,Artificial intelligence,Fuzzy number,Membership function,Machine learning
Conference
Volume
ISSN
ISBN
2412
0302-9743
3-540-44025-9
Citations 
PageRank 
References 
7
0.96
5
Authors
2
Name
Order
Citations
PageRank
Vitaly G. Levashenko13912.90
Elena N. Zaitseva25314.38