Paper Info
Title
Fuzzy ID3 algorithm based on generating Hartley measure
Abstract
Fuzzy decision tree induction algorithm is an important way with uncertain information. However, the current fuzzy decision tree algorithms do not systematically consider the impact of different fuzzy levels and simply make uncertainty treatment awareness into the selection of extended properties. To avoiding this problem, this paper establishes a generating Hartley measure model based on cut-standard, subsequently, proposes fuzzy ID3 algorithm based on generating Hartley measure model, finally, the results of the experiments indicates that the model is feasible and effective.
Year
DOI
Venue
2011
10.1007/978-3-642-23982-3_24
WISM (2)
Keywords
Field
DocType
uncertainty treatment awareness,id3 algorithm,extended property,generating hartley measure model,hartley measure model,uncertain information,different fuzzy level,fuzzy decision tree induction,current fuzzy decision tree,fuzzy id3 algorithm
Defuzzification,Fuzzy classification,Fuzzy set operations,Computer science,Fuzzy logic,Fuzzy measure theory,Algorithm,Artificial intelligence,Type-2 fuzzy sets and systems,Fuzzy id3,Fuzzy number
Conference
Volume
ISSN
Citations 
6988
0302-9743
2
PageRank 
References 
Authors
0.40
6
2
Name
Order
Citations
PageRank
Fachao Li115722.30
Dandan Jiang221.08