Inductive inference and argumentation methods in modern intelligent decision support systems
- Authors: Vagin V.N.1, Morosin O.L.1, Fomina M.V.1
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Affiliations:
- Moscow Power Engineering Institute
- Issue: Vol 55, No 1 (2016)
- Pages: 79-95
- Section: Artificial Intelligence
- URL: https://journals.rcsi.science/1064-2307/article/view/219565
- DOI: https://doi.org/10.1134/S106423071601010X
- ID: 219565
Cite item
Abstract
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.
About the authors
V. N. Vagin
Moscow Power Engineering Institute
Email: oleg@morosin.ru
Russian Federation, Moscow
O. L. Morosin
Moscow Power Engineering Institute
Author for correspondence.
Email: oleg@morosin.ru
Russian Federation, Moscow
M. V. Fomina
Moscow Power Engineering Institute
Email: oleg@morosin.ru
Russian Federation, Moscow