Mulesa O. Fuzzy models and assessment methods of quantitative characteristics groups at high risk of infection with human immunodeficiency virus

The object of research is the process of estimating the quantitative characteristics of objects and processes. The aim of the thesis is to improve the decision-making processes on the Information and medical support of populations at higher risk of infection with the human immunodeficiency virus through the development of models and methods of assessment of their quantitative characteristics and the degree of people belong to such groups . When solving the tasks were used fuzzy set theory , the method of sequential analysis of options for screening unpromising options . Scientific novelty and practical significance of the results : 1. First proposed fuzzy model and the method of estimating the number of populations at higher risk of infection with human immunodeficiency virus on the basis of incorporating unpromising and expert opinions ; 2 . First developed fuzzy model assessment of the asylum at high risk of infection with human immunodeficiency virus and technology is proposed to solve this problem ; 3 . Was further developed the method of sequential analysis of variants by modifying it to solve optimization problems in fuzzy sets; 4.Poluchil further development of the method of evaluation of quantitative characteristics of groups at high risk of infection with human immunodeficiency virus on the basis of analysis of the socio - demographic profile face - representative group of high risk of infection with human immunodeficiency virus .