A Bayesian Fuzzy Classifier for the Predisposition of Subjects to Narcotics


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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

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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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