A Bayesian Fuzzy Classifier for the Predisposition of Subjects to Narcotics
- 作者: Labunets L.V.1, Borzov A.B.1, Diashev A.N.2, Sinopal’nikov V.I.1, Blagoveshchenskii I.G.1, Makarova N.Y.1, Pelipenko I.I.1
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隶属关系:
- Bauman Moscow State Technical University
- Median Foundation
- 期: 卷 52, 编号 2 (2018)
- 页面: 131-137
- 栏目: Article
- URL: https://journal-vniispk.ru/0006-3398/article/view/235554
- DOI: https://doi.org/10.1007/s10527-018-9798-8
- ID: 235554
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详细
A natural relationship between the probabilistic and fuzzy set approaches to the intelligent analysis of the level of risk of drug dependence was demonstrated using results of psychological testing of students. A method of forming a Bayesian model of linguistic variables characterizing the initial signs of the predisposition to drugs is presented. Steps of fuzzy logical inference of the aggregate informative classifier for ranking and classifying subjects’ psychoemotional status are considered within the framework of hierarchy analysis and principal components analysis.
作者简介
L. Labunets
Bauman Moscow State Technical University
编辑信件的主要联系方式.
Email: labunets@bmstu.ru
俄罗斯联邦, Moscow
A. Borzov
Bauman Moscow State Technical University
Email: labunets@bmstu.ru
俄罗斯联邦, Moscow
A. Diashev
Median Foundation
Email: labunets@bmstu.ru
俄罗斯联邦, Moscow
V. Sinopal’nikov
Bauman Moscow State Technical University
Email: labunets@bmstu.ru
俄罗斯联邦, Moscow
I. Blagoveshchenskii
Bauman Moscow State Technical University
Email: labunets@bmstu.ru
俄罗斯联邦, Moscow
N. Makarova
Bauman Moscow State Technical University
Email: labunets@bmstu.ru
俄罗斯联邦, Moscow
I. Pelipenko
Bauman Moscow State Technical University
Email: labunets@bmstu.ru
俄罗斯联邦, Moscow
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