Inductive inference and argumentation methods in modern intelligent decision support systems
- Авторы: Vagin V.1, Morosin O.1, Fomina M.1
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Учреждения:
- Moscow Power Engineering Institute
- Выпуск: Том 55, № 1 (2016)
- Страницы: 79-95
- Раздел: Artificial Intelligence
- URL: https://journals.rcsi.science/1064-2307/article/view/219565
- DOI: https://doi.org/10.1134/S106423071601010X
- ID: 219565
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Аннотация
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.
Об авторах
V. Vagin
Moscow Power Engineering Institute
Email: oleg@morosin.ru
Россия, Moscow
O. Morosin
Moscow Power Engineering Institute
Автор, ответственный за переписку.
Email: oleg@morosin.ru
Россия, Moscow
M. Fomina
Moscow Power Engineering Institute
Email: oleg@morosin.ru
Россия, Moscow
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