Logical and probabilistic risk models for assessment and analysis of the drug addiction problem in a region
by Eugene Dmitrievich Solozhentsev; Sergey A. Mityagin
International Journal of Risk Assessment and Management (IJRAM), Vol. 18, No. 1, 2015

Abstract: This paper provides evidence about the selection of the model type in order to solve the drug addiction problem in the region. Methodological support of the drug addiction situation monitoring systems has been analysed. Hybrid logic and probabilistic (LP) risk models of failure to counteract drug addiction, with and without corruption, are described. A scenario LP-risk model of conceptual development of drug addiction in the region is considered. We also propose an LP-risk model of drug addiction danger in the region on the basis of indicative indexes, taking into account drug addiction latency. An example of the assessment of drug addiction danger in the region using the monitoring data is provided.

Online publication date: Sat, 09-May-2015

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