A Bayesian Fuzzy Classifier for the Predisposition of Subjects to Narcotics
| Autor: | V. I. Sinopal’nikov, A. B. Borzov, I. G. Blagoveshchenskii, A. N. Diashev, I. I. Pelipenko, L. V. Labunets, N. Y. Makarova |
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| Rok vydání: | 2018 |
| Předmět: |
Computer science
business.industry 0206 medical engineering Bayesian probability Fuzzy set Biomedical Engineering Probabilistic logic Medicine (miscellaneous) 02 engineering and technology Bayesian inference Machine learning computer.software_genre 020601 biomedical engineering Fuzzy logic Medical Laboratory Technology ComputingMethodologies_PATTERNRECOGNITION Principal component analysis Psychological testing Artificial intelligence business Classifier (UML) computer |
| Zdroj: | Biomedical Engineering. 52:131-137 |
| ISSN: | 1573-8256 0006-3398 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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