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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
computer science
Belief decision trees: Theoretical foundations
International Journal of Approximate Reasoning, Volume 28, No. 2-3, Year 2001
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Description
This paper extends the decision tree technique to an uncertain environment where the uncertainty is represented by belief functions as interpreted in the transferable belief model (TBM). This so-called belief decision tree is a new classification method adapted to uncertain data. We will be concerned with the construction of the belief decision tree from a training set where the knowledge about the instances' classes is represented by belief functions, and its use for the classification of new instances where the knowledge about the attributes' values is represented by belief functions. © 2001 Elsevier Science Inc. All rights reserved.
Authors & Co-Authors
Elouedi, Zied
Tunisia, Le Bardo
Institut Supérieur de Gestion de Tunis
Mellouli, Khaled
Tunisia, Le Bardo
Institut Supérieur de Gestion de Tunis
Smets, Philippe
Belgium, Brussels
Université Libre de Bruxelles
Statistics
Citations: 145
Authors: 3
Affiliations: 2
Identifiers
Doi:
10.1016/S0888-613X(01)00045-7
ISSN:
0888613X