Correction of Belief Function to Improve the Performances of a Fusion System

Our application concerns the fusion of classifiers for the recognition of trees from their leaves, in the framework of belief functions theory. In order to improve the rate of good classification it is necessary to correct Bayesian mass functions. This correction will be done from the meta-knowledge...

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Detalles Bibliográficos
Autores principales: Coquin, Didier, Boukezzoula, Reda, Ben Ameur, Rihab
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274719/
http://dx.doi.org/10.1007/978-3-030-50143-3_23
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author Coquin, Didier
Boukezzoula, Reda
Ben Ameur, Rihab
author_facet Coquin, Didier
Boukezzoula, Reda
Ben Ameur, Rihab
author_sort Coquin, Didier
collection PubMed
description Our application concerns the fusion of classifiers for the recognition of trees from their leaves, in the framework of belief functions theory. In order to improve the rate of good classification it is necessary to correct Bayesian mass functions. This correction will be done from the meta-knowledge which is estimated from the confusion matrix. The corrected mass functions considerably improve the recognition rate based on the decisions provided by the classifiers.
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spelling pubmed-72747192020-06-08 Correction of Belief Function to Improve the Performances of a Fusion System Coquin, Didier Boukezzoula, Reda Ben Ameur, Rihab Information Processing and Management of Uncertainty in Knowledge-Based Systems Article Our application concerns the fusion of classifiers for the recognition of trees from their leaves, in the framework of belief functions theory. In order to improve the rate of good classification it is necessary to correct Bayesian mass functions. This correction will be done from the meta-knowledge which is estimated from the confusion matrix. The corrected mass functions considerably improve the recognition rate based on the decisions provided by the classifiers. 2020-05-15 /pmc/articles/PMC7274719/ http://dx.doi.org/10.1007/978-3-030-50143-3_23 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Coquin, Didier
Boukezzoula, Reda
Ben Ameur, Rihab
Correction of Belief Function to Improve the Performances of a Fusion System
title Correction of Belief Function to Improve the Performances of a Fusion System
title_full Correction of Belief Function to Improve the Performances of a Fusion System
title_fullStr Correction of Belief Function to Improve the Performances of a Fusion System
title_full_unstemmed Correction of Belief Function to Improve the Performances of a Fusion System
title_short Correction of Belief Function to Improve the Performances of a Fusion System
title_sort correction of belief function to improve the performances of a fusion system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274719/
http://dx.doi.org/10.1007/978-3-030-50143-3_23
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