Inductive inference and argumentation methods in modern intelligent decision support systems


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Resumo

Improvement of the classification quality for the generalization problem is considered. In order to improve the classification models produced by generalization algorithms, it is proposed to use argumentation methods based on defeasible reasoning with justification degrees. New methods and algorithms are proposed, and experimental results on various test data sets are described, including instances with noisy initial data.

Sobre autores

V. Vagin

Moscow Power Engineering Institute

Email: oleg@morosin.ru
Rússia, Moscow

O. Morosin

Moscow Power Engineering Institute

Autor responsável pela correspondência
Email: oleg@morosin.ru
Rússia, Moscow

M. Fomina

Moscow Power Engineering Institute

Email: oleg@morosin.ru
Rússia, Moscow

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