Inductive inference and argumentation methods in modern intelligent decision support systems
- 作者: Vagin V.1, Morosin O.1, Fomina M.1
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隶属关系:
- Moscow Power Engineering Institute
- 期: 卷 55, 编号 1 (2016)
- 页面: 79-95
- 栏目: Artificial Intelligence
- URL: https://journals.rcsi.science/1064-2307/article/view/219565
- DOI: https://doi.org/10.1134/S106423071601010X
- ID: 219565
如何引用文章
详细
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.
作者简介
V. Vagin
Moscow Power Engineering Institute
Email: oleg@morosin.ru
俄罗斯联邦, Moscow
O. Morosin
Moscow Power Engineering Institute
编辑信件的主要联系方式.
Email: oleg@morosin.ru
俄罗斯联邦, Moscow
M. Fomina
Moscow Power Engineering Institute
Email: oleg@morosin.ru
俄罗斯联邦, Moscow
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